Triple
T4185630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AAPT Summer Meeting |
E88303
|
entity |
| Predicate | typicalLocationType |
P16688
|
FINISHED |
| Object | university campus |
—
|
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: university campus | Statement: [AAPT Summer Meeting, typicalLocationType, university campus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocationType Context triple: [AAPT Summer Meeting, typicalLocationType, university campus]
-
A.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
B.
placeType
chosen
Indicates the type or category of place associated with an entity (e.g., city, park, building).
-
C.
typicalGameLocation
Indicates the usual or characteristic place where a game is played or takes place.
-
D.
platformLocation
Indicates the spatial position or placement of a platform relative to a reference point or environment.
-
E.
trainingLocationType
Indicates the type or category of place where a training activity occurs.
- 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_69aed9477e8c81908bcb862d2db55b1d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af07078cb081909f64326b12522410 |
completed | March 9, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69af019155448190b19868583272513f |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:45 p.m.