Triple
T11491504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Aculco |
E272424
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Aculco |
E476265
|
NE FINISHED |
How this triple was built (2 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: Aculco | Statement: [Battle of Aculco, location, Aculco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aculco Context triple: [Battle of Aculco, location, Aculco]
-
A.
Aculco
chosen
Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
-
B.
Tetela
Tetela is a Bantu language spoken primarily by the Tetela people of central Democratic Republic of the Congo.
-
C.
Heredia
Heredia is a historic city in Costa Rica known for its colonial architecture, vibrant university life, and location in the country’s Central Valley.
-
D.
Cascabel
Cascabel is an immersive theatrical dining experience that blends circus, storytelling, and gourmet cuisine, created in collaboration with chef Rick Bayless and staged by Chicago’s Lookingglass Theatre Company.
-
E.
Atenco
Atenco is a municipality in the State of Mexico known for its rural communities and prominent social movements, particularly those opposing large-scale infrastructure projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85a21fb048190acb0960aefd4fe0a |
completed | April 10, 2026, 2:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e6047d95548190b445aa3b4f1e71cc |
completed | April 20, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:36 p.m.