Triple
T16549981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papantla de Olarte |
E402044
|
entity |
| Predicate | roadConnection |
P385
|
FINISHED |
| Object | Veracruz City |
E265217
|
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: Veracruz City | Statement: [Papantla de Olarte, roadConnection, Veracruz City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veracruz City Context triple: [Papantla de Olarte, roadConnection, Veracruz City]
-
A.
Veracruz City
chosen
Veracruz City is a historic port city on the Gulf of Mexico known as one of Mexico’s oldest and most important maritime and commercial hubs.
-
B.
Ciudad Victoria
Ciudad Victoria is a mid-sized city in northeastern Mexico that serves as the political and administrative center of the state of Tamaulipas.
-
C.
Tampico Madero
Tampico Madero is a Mexican professional football club traditionally based in the port city of Tampico, Tamaulipas.
-
D.
Monterrey
Monterrey is a major industrial and economic hub in northeastern Mexico, known for its modern skyline, strong manufacturing base, and role as a center of business and education.
-
E.
Monterrey
Monterrey is a municipality in the Casanare Department of eastern Colombia, known for its cattle ranching, oil-related activities, and llanero (plains) culture.
- 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e34fc451dc8190b571d5010f4017f4 |
completed | April 18, 2026, 9:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067b6ca44819085145eb48356e7b4 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.