Triple
T37031963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Palms |
E916518
|
entity |
| Predicate | hasSportsEventNamedAfter |
P65425
|
FINISHED |
| Object | City of Palms Classic |
—
|
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: City of Palms Classic | Statement: [City of Palms, hasSportsEventNamedAfter, City of Palms Classic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSportsEventNamedAfter Context triple: [City of Palms, hasSportsEventNamedAfter, City of Palms Classic]
-
A.
hasNameInSport
Indicates that an entity is known by a particular name specifically within the context of a given sport.
-
B.
hasSportTeamNamesake
Indicates that an entity has a sports team that is named after it or shares its name.
-
C.
hasTournamentNamedAfter
chosen
Indicates that an entity has a tournament that is named in honor of or after it.
-
D.
hasParkNamedAfter
Indicates that one entity has a park that is named in honor of, or after, another entity.
-
E.
introducedSport
Indicates that an entity caused a particular sport to be brought into use, practice, or awareness within a specific context or place.
- 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fed6da0390819096b88ef4714b144e |
completed | May 9, 2026, 6:40 a.m. |
| PD | Predicate disambiguation | batch_69fed53517d081909966f31707625f1a |
completed | May 9, 2026, 6:33 a.m. |
Created at: May 3, 2026, 4:14 p.m.