Triple
T13295407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chilecito Department |
E316667
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Anguinán
Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
|
E1034848
|
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: Anguinán | Statement: [Chilecito Department, hasSettlement, Anguinán]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anguinán Context triple: [Chilecito Department, hasSettlement, Anguinán]
-
A.
Tamuín
Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
-
B.
Aicuña
Aicuña is a small rural village in northwestern Argentina, known for its traditional adobe architecture and preserved cultural heritage.
-
C.
Consuegra
Consuegra is a historic town in Spain’s La Mancha region, known for its hilltop castle and iconic windmills associated with Don Quixote.
-
D.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- 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: Anguinán Triple: [Chilecito Department, hasSettlement, Anguinán]
Generated description
Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anguinán Target entity description: Anguinán is a small rural settlement located in the Chilecito Department of La Rioja Province in northwestern Argentina.
-
A.
Tamuín
Tamuín is a municipality in the Mexican state of San Luis Potosí, known for its Huastec cultural heritage and proximity to important archaeological and natural sites.
-
B.
Aicuña
Aicuña is a small rural village in northwestern Argentina, known for its traditional adobe architecture and preserved cultural heritage.
-
C.
Consuegra
Consuegra is a historic town in Spain’s La Mancha region, known for its hilltop castle and iconic windmills associated with Don Quixote.
-
D.
Villanúa
Villanúa is a small Pyrenean village in northeastern Spain known for its mountain scenery, outdoor activities, and proximity to the French border.
-
E.
Requena
Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99079c8508190b6208db9affcbc0e |
completed | April 11, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f247e2081908759c40c0023c7ae |
completed | May 3, 2026, 10:10 a.m. |
| NEDg | Description generation | batch_69f720861728819088bc43753d19bef8 |
completed | May 3, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7212ca3f48190915d73f987ec60d2 |
completed | May 3, 2026, 10:19 a.m. |
Created at: April 9, 2026, 9:28 p.m.