Triple
T2921257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alcaldía Tláhuac |
E78728
|
entity |
| Predicate | hasSportsInstitute |
P43934
|
FINISHED |
| Object | sports area of Alcaldía Tláhuac |
—
|
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: sports area of Alcaldía Tláhuac | Statement: [Alcaldía Tláhuac, hasSportsInstitute, sports area of Alcaldía Tláhuac]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsInstitute Context triple: [Alcaldía Tláhuac, hasSportsInstitute, sports area of Alcaldía Tláhuac]
-
A.
hasAthletics
Indicates that an entity participates in, is associated with, or offers athletics-related activities or programs.
-
B.
universitySport
Indicates a relationship where a particular sport is officially associated with, offered, or organized by a university.
-
C.
hasAffiliatedCollegesIn
Indicates that an institution maintains affiliated colleges located within a specified geographic area or jurisdiction.
-
D.
hasCampusOn
Indicates that an institution or organization maintains a campus located on a specified geographic area or site.
-
E.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
- 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_69ad8b0c2ad081909ff87050ae542bb9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad97fd89d88190bc7db4b39058ae3a |
completed | March 8, 2026, 3:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9603ddd88190b8bf91bc7517cc21 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f520208190a4dc43372004555f |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:54 p.m.