Triple
T38300358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Think They Like Me |
E1032204
|
entity |
| Predicate | typicalVenueOfPlay |
P25526
|
FINISHED |
| Object | clubs |
—
|
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: clubs | Statement: [I Think They Like Me, typicalVenueOfPlay, clubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVenueOfPlay Context triple: [I Think They Like Me, typicalVenueOfPlay, clubs]
-
A.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
B.
typicalVenues
chosen
Indicates that the specified locations are common or standard places where the associated activity, event, or entity usually occurs or is hosted.
-
C.
typicalVenueSetting
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically takes place.
-
D.
typicalVenueStadium
Indicates that the usual or characteristic venue for the referenced activity, event, or entity is a stadium.
-
E.
gameVenue
Indicates the location or facility where a game or match is held.
- 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_69f76e0f2084819091299d021625c3fe |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.