Triple
T32827879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corinthians-Itaquera metro station |
E839601
|
entity |
| Predicate | hasSpecialUse |
P194480
|
FINISHED |
| Object | event operations for football matches |
—
|
LITERAL 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: event operations for football matches | Statement: [Corinthians-Itaquera metro station, hasSpecialUse, event operations for football matches]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpecialUse Context triple: [Corinthians-Itaquera metro station, hasSpecialUse, event operations for football matches]
-
A.
hasSpecial
Indicates that an entity possesses or is associated with a distinctive or exceptional attribute, status, or feature compared to others.
-
B.
hasSpecialUnit
Indicates that an entity possesses or is associated with a distinct, designated unit that has a special role, function, or status.
-
C.
hasSpecials
Indicates that an entity offers or is associated with special deals, promotions, or limited-time offers.
-
D.
hasSpecialCategory
Indicates that an entity is associated with a designated special or exceptional category distinct from its standard classifications.
-
E.
hasSpecialRules
Indicates that certain entities are governed by additional or exceptional rules that differ from the standard ones.
- 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_69f3493f22f88190ae6dd4bc15b6cf8d |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 1, 2026, 1:16 a.m.