Triple
T22143875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife metropolitan region |
E547234
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Limoeiro
Limoeiro is a municipality in the Brazilian state of Pernambuco that forms part of the greater Recife metropolitan area.
|
E1522005
|
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: Limoeiro | Statement: [Recife metropolitan region, hasMunicipality, Limoeiro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limoeiro Context triple: [Recife metropolitan region, hasMunicipality, Limoeiro]
-
A.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Lajedo
Lajedo is a small settlement on Flores Island in Portugal’s Azores archipelago, known for its rural character and Atlantic island landscape.
-
D.
Curillo
Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
-
E.
Morrito
Morrito is a small town and municipality located in the Río San Juan Department of southeastern Nicaragua, near the shores of Lake Nicaragua.
- 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: Limoeiro Triple: [Recife metropolitan region, hasMunicipality, Limoeiro]
Generated description
Limoeiro is a municipality in the Brazilian state of Pernambuco that forms part of the greater Recife metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limoeiro Target entity description: Limoeiro is a municipality in the Brazilian state of Pernambuco that forms part of the greater Recife metropolitan area.
-
A.
Loiceño
Loiceño is the Spanish demonym for a person from the municipality of Loíza in Puerto Rico.
-
B.
Juncal
Juncal is a civil parish in the municipality of Porto de Mós in central Portugal, known for its rural character and local cultural traditions.
-
C.
Lajedo
Lajedo is a small settlement on Flores Island in Portugal’s Azores archipelago, known for its rural character and Atlantic island landscape.
-
D.
Curillo
Curillo is a small municipality located in the Caquetá Department of southern Colombia, known for its rural character and proximity to Amazonian rainforest regions.
-
E.
Morrito
Morrito is a small town and municipality located in the Río San Juan Department of southeastern Nicaragua, near the shores of Lake Nicaragua.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96fe404481908a6b27dcf1406dfb |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97e509a88190a7f316cf340d010a |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a987daa208190bab5b7adec1913e8 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 8:32 p.m.