Triple
T2262829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TAR Aerolíneas |
E50075
|
entity |
| Predicate | focusCity |
P164
|
FINISHED |
| Object | Tuxtla Gutiérrez |
E254704
|
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: Tuxtla Gutiérrez | Statement: [TAR Aerolíneas, focusCity, Tuxtla Gutiérrez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuxtla Gutiérrez Context triple: [TAR Aerolíneas, focusCity, Tuxtla Gutiérrez]
-
A.
Tuxtla Gutiérrez
chosen
Tuxtla Gutiérrez is the capital and largest city of the Mexican state of Chiapas, known as a regional political, economic, and transportation hub.
-
B.
Xalapa
Xalapa is a city in eastern Mexico known as the capital and cultural center of the state of Veracruz.
-
C.
Morelia
Morelia is the capital city of the Mexican state of Michoacán, known for its well-preserved colonial architecture and historic city center, a UNESCO World Heritage Site.
-
D.
San Luis Potosí City
San Luis Potosí City is the capital of the Mexican state of San Luis Potosí, known for its colonial architecture, mining history, and role as a cultural and economic center in north-central Mexico.
-
E.
Tulancingo
Tulancingo is a historic city in central Mexico known for its colonial architecture, regional commerce, and cultural traditions within the state of Hidalgo.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18be8308190abc4a59d37dfd93a |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae960554108190a202855ad0d3caaa |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:48 p.m.