Triple
T23050791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shefa Province |
E574005
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Mataso
Mataso is a small island in Vanuatu located within Shefa Province in the central South Pacific.
|
E1569627
|
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: Mataso | Statement: [Shefa Province, contains, Mataso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mataso Context triple: [Shefa Province, contains, Mataso]
-
A.
Kimeru
Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
-
B.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
C.
Musanga
Musanga is a small genus of fast-growing tropical African trees in the nettle family, best known for the umbrella tree (Musanga cecropioides) commonly found in rainforest and disturbed habitats.
-
D.
Mbini
Mbini is a town in mainland Equatorial Guinea situated along the Benito River, known historically as a small river port and local administrative center.
-
E.
Mwenga
Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
- 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: Mataso Triple: [Shefa Province, contains, Mataso]
Generated description
Mataso is a small island in Vanuatu located within Shefa Province in the central South Pacific.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mataso Target entity description: Mataso is a small island in Vanuatu located within Shefa Province in the central South Pacific.
-
A.
Kimeru
Kimeru is a Bantu language spoken primarily by the Meru people of central Kenya.
-
B.
Mangole
Mangole is one of the principal islands of Indonesia’s Sula Islands archipelago in North Maluku Province.
-
C.
Musanga
Musanga is a small genus of fast-growing tropical African trees in the nettle family, best known for the umbrella tree (Musanga cecropioides) commonly found in rainforest and disturbed habitats.
-
D.
Mbini
Mbini is a town in mainland Equatorial Guinea situated along the Benito River, known historically as a small river port and local administrative center.
-
E.
Mwenga
Mwenga is a town in the South Kivu province of the Democratic Republic of the Congo that serves as an administrative and commercial center for the surrounding region.
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1867c443081909588262bc90748af |
completed | April 29, 2026, 4:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c15a203ac8190b5f2df1cf0a88ac5 |
completed | May 19, 2026, 7:47 a.m. |
| NEDg | Description generation | batch_6a0c16ad0b7c8190bde9d5e8ba0efb5b |
completed | May 19, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c17da6a108190b37d1e69e6f24e00 |
completed | May 19, 2026, 7:57 a.m. |
Created at: April 17, 2026, 3:54 p.m.