Triple
T13082108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dawg Pack |
E310233
|
entity |
| Predicate | typicalLocationInVenue |
P25526
|
FINISHED |
| Object | student section |
—
|
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: student section | Statement: [The Dawg Pack, typicalLocationInVenue, student section]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocationInVenue Context triple: [The Dawg Pack, typicalLocationInVenue, student section]
-
A.
typicalVenueSetting
Indicates the usual or characteristic type of venue or setting in which an event, activity, or interaction typically 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.
locatedInOperatedVenue
Indicates that an entity is situated within a venue that is managed or operated by a specified agent or organization.
-
D.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
E.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69d9803f6c508190bfadfbc2d00c2c64 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:01 p.m.