Triple
T36846705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Stand |
E910566
|
entity |
| Predicate | isPrincipalSectionOf |
P82192
|
FINISHED |
| Object | Estadio Centenario |
—
|
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: Estadio Centenario | Statement: [Olympic Stand, isPrincipalSectionOf, Estadio Centenario]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPrincipalSectionOf Context triple: [Olympic Stand, isPrincipalSectionOf, Estadio Centenario]
-
A.
isPrincipalRouteOf
Indicates that one route serves as the main or primary route associated with another route or network.
-
B.
isPrincipalAssociationOf
Indicates that one entity serves as the primary or main associated counterpart of another entity within a given context or relationship.
-
C.
isPrincipalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, work, or relationship.
-
D.
usesSectionOf
Indicates that one entity makes use of a specific section or part of another entity.
-
E.
isNamedSectionOf
chosen
Indicates that one entity is a specifically named section or subdivision that forms part of another entity.
- F. None of above.
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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd884cb2b48190b6acd473430d9e19 |
completed | May 8, 2026, 6:53 a.m. |
| PD | Predicate disambiguation | batch_69fd8709ca208190a8bab836f0156af5 |
completed | May 8, 2026, 6:47 a.m. |
Created at: May 3, 2026, 4:13 p.m.