Triple
T18344988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISO 3166-2:ST |
E439512
|
entity |
| Predicate | definesSubdivision |
P747
|
FINISHED |
| Object |
Lembá
Lembá is a coastal district on the island of São Tomé in São Tomé and Príncipe, known for its fishing communities and lush tropical landscapes.
|
E1320406
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Lembá | Statement: [ISO 3166-2:ST, definesSubdivision, Lembá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lembá Context triple: [ISO 3166-2:ST, definesSubdivision, Lembá]
-
A.
Munduruku
Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
-
B.
Lubaantun
Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
-
C.
Lendu-Bale
Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
-
D.
Lango
The Lango are a Nilotic ethnic group primarily inhabiting northern Uganda, known for their distinct language and cultural traditions.
-
E.
Langata
Langata is a residential and suburban area in southwestern Nairobi, Kenya, known for attractions like Nairobi National Park and the Giraffe Centre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lembá Triple: [ISO 3166-2:ST, definesSubdivision, Lembá]
Generated description
Lembá is a coastal district on the island of São Tomé in São Tomé and Príncipe, known for its fishing communities and lush tropical landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lembá Target entity description: Lembá is a coastal district on the island of São Tomé in São Tomé and Príncipe, known for its fishing communities and lush tropical landscapes.
-
A.
Munduruku
Munduruku is an indigenous people of the Brazilian Amazon known for their distinct language, rich cultural traditions, and historical prominence along the Tapajós River.
-
B.
Lubaantun
Lubaantun is a Late Classic Maya archaeological site in southern Belize, known for its distinctive drystone construction and stepped pyramids.
-
C.
Lendu-Bale
Lendu-Bale is an alternative name for the Lendu language, a Central Sudanic language spoken primarily in the northeastern Democratic Republic of the Congo.
-
D.
Lango
The Lango are a Nilotic ethnic group primarily inhabiting northern Uganda, known for their distinct language and cultural traditions.
-
E.
Langata
Langata is a residential and suburban area in southwestern Nairobi, Kenya, known for attractions like Nairobi National Park and the Giraffe Centre.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f3bb888190bdeea4c4d114a43b |
completed | April 19, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03cc245d008190838015a5129f232f |
completed | May 13, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_6a03d05679f4819096ecee9c2a19ad26 |
completed | May 13, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d0cd1a688190ba67d1601e4fea79 |
completed | May 13, 2026, 1:15 a.m. |
Created at: April 10, 2026, 10:37 a.m.