Triple
T8438512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecatepec de Morelos |
E199289
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Atenco |
E586074
|
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: Atenco | Statement: [Ecatepec de Morelos, borders, Atenco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atenco Context triple: [Ecatepec de Morelos, borders, Atenco]
-
A.
Atenco
chosen
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.
-
B.
Aculco
Aculco is a Mexico City Metro station located in the eastern part of the city, serving local commuters on Line 8.
-
C.
Niquero
Niquero is a coastal town and municipality in Granma Province, Cuba, known for its historical role in the Cuban Revolution and proximity to important coastal and natural areas.
-
D.
Calbe
Calbe is a small town in the German state of Saxony-Anhalt, known for its location on the Saale River and its historic town center.
-
E.
Atengo
Atengo is a municipality located within the Sierra de Amula region in the state of Jalisco, Mexico.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe135657c81908ed8156fbfbef6ec |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d87403c8190b979af4979e43517 |
completed | April 2, 2026, 7:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.