Triple
T628023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tláhuac |
E15861
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Ixtapaluca |
E88248
|
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: Ixtapaluca | Statement: [Tláhuac, borderedBy, Ixtapaluca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ixtapaluca Context triple: [Tláhuac, borderedBy, Ixtapaluca]
-
A.
San Juan Ixtayopan
San Juan Ixtayopan is a town within the Tláhuac borough of Mexico City, known for its traditional rural character and local festivities.
-
B.
Tenayuca
Tenayuca is a station and northern terminus of Mexico City’s Metrobús Line 3, serving as a key public transit hub in the area.
-
C.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
-
D.
Chalco
chosen
Chalco is a municipality in the State of Mexico, part of the Mexico City metropolitan area, known historically as a pre-Hispanic settlement near Lake Chalco.
-
E.
Tacuba
Tacuba is a historic neighborhood in Mexico City known for its colonial-era architecture and role as a former pre-Hispanic town.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e59e2688190b3c18b17c5db1e2b |
completed | March 1, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a654d19b108190a4777dce9def7579 |
completed | March 3, 2026, 3:26 a.m. |
Created at: March 1, 2026, 7:35 p.m.