Triple
T31896472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico City integrated fare system |
E814296
|
entity |
| Predicate | usesCard |
P192502
|
FINISHED |
| Object | Tarjeta de Movilidad Integrada |
—
|
NE NERFINISHED |
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: Tarjeta de Movilidad Integrada | Statement: [Mexico City integrated fare system, usesCard, Tarjeta de Movilidad Integrada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesCard Context triple: [Mexico City integrated fare system, usesCard, Tarjeta de Movilidad Integrada]
-
A.
containsCard
Indicates that one entity includes or holds a specific card as part of its contents or collection.
-
B.
legalCardsFrom
Indicates that the referenced cards are permitted or valid according to the rules or constraints defined by the specified source or authority.
-
C.
cardEffect
Indicates that one card produces a specific effect or outcome on another entity or the game state.
-
D.
isSupercardOf
Indicates that one card or set of cards fully contains or extends the content, scope, or functionality of another card, making it a more comprehensive or encompassing version.
-
E.
cardText
Indicates that one entity is the textual content displayed on a card associated with another entity.
- F. None of above. chosen
Provenance (4 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
| PDg | Predicate description generation | batch_69fd0d0aebac8190868a7714ddb4f1fd |
completed | May 7, 2026, 10:07 p.m. |
Created at: April 30, 2026, 11:59 p.m.