Triple
T17827487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huamalíes Province |
E445157
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Arancay
Arancay is a small town and district in the Huamalíes Province of Peru, known for its Andean highland setting and traditional rural lifestyle.
|
E1288974
|
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: Arancay | Statement: [Huamalíes Province, hasSettlement, Arancay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arancay Context triple: [Huamalíes Province, hasSettlement, Arancay]
-
A.
Argençola
Argençola is a small municipality in the comarca of Anoia in Catalonia, Spain, known for its rural landscape and historic village core.
-
B.
Samaniego
Samaniego is a surname of Spanish origin borne by various notable individuals, including figures in the arts, sports, and public life.
-
C.
Gualé
Gualé refers to the Guale people, a Native American group that historically inhabited the coastal regions of what is now Georgia and northeastern Florida.
-
D.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
E.
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.
- 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: Arancay Triple: [Huamalíes Province, hasSettlement, Arancay]
Generated description
Arancay is a small town and district in the Huamalíes Province of Peru, known for its Andean highland setting and traditional rural lifestyle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arancay Target entity description: Arancay is a small town and district in the Huamalíes Province of Peru, known for its Andean highland setting and traditional rural lifestyle.
-
A.
Argençola
Argençola is a small municipality in the comarca of Anoia in Catalonia, Spain, known for its rural landscape and historic village core.
-
B.
Samaniego
Samaniego is a surname of Spanish origin borne by various notable individuals, including figures in the arts, sports, and public life.
-
C.
Gualé
Gualé refers to the Guale people, a Native American group that historically inhabited the coastal regions of what is now Georgia and northeastern Florida.
-
D.
Montalva
Montalva is a Spanish-language surname notably associated with Chilean president Eduardo Frei Montalva.
-
E.
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.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48915d0fc819080ab03feb2465834 |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02ff6ef154819087a1d3781e475167 |
completed | May 12, 2026, 10:22 a.m. |
| NEDg | Description generation | batch_6a03001b0368819084136d1f88d8a01a |
completed | May 12, 2026, 10:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0300cea244819080acab78691afd16 |
completed | May 12, 2026, 10:28 a.m. |
Created at: April 10, 2026, 10:15 a.m.