Triple
T7350177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sierra de Amula |
E169477
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Atengo
Atengo is a municipality located within the Sierra de Amula region in the state of Jalisco, Mexico.
|
E658405
|
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: Atengo | Statement: [Sierra de Amula, containsMunicipality, Atengo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atengo Context triple: [Sierra de Amula, containsMunicipality, Atengo]
-
A.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
B.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
C.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
D.
Opata
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
E.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
- 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: Atengo Triple: [Sierra de Amula, containsMunicipality, Atengo]
Generated description
Atengo is a municipality located within the Sierra de Amula region in the state of Jalisco, Mexico.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atengo Target entity description: Atengo is a municipality located within the Sierra de Amula region in the state of Jalisco, Mexico.
-
A.
Atalaya
Atalaya is a small Peruvian river port town in the Amazon rainforest, serving as a regional hub for transport and trade.
-
B.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
C.
Macuata
Macuata is a province in northern Fiji located on the island of Vanua Levu, known for its sugarcane farming and coastal communities.
-
D.
Opata
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
E.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f107b88c81908bb5f8deb40ab70b |
completed | March 27, 2026, 9:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa95b26481909f26389d1019da91 |
completed | March 28, 2026, 3:58 p.m. |
| NEDg | Description generation | batch_69c7fbffbc7881909a5b4e877a735848 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fcb2605c819080697768d00c77d7 |
completed | March 28, 2026, 4:07 p.m. |
Created at: March 27, 2026, 3:05 p.m.