Triple
T4750158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long Beach State 49ers football team |
E105456
|
entity |
| Predicate | homeFieldType |
P58549
|
FINISHED |
| Object | outdoor stadium |
—
|
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: outdoor stadium | Statement: [Long Beach State 49ers football team, homeFieldType, outdoor stadium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeFieldType Context triple: [Long Beach State 49ers football team, homeFieldType, outdoor stadium]
-
A.
homeFieldName
Indicates the name of the field or venue that serves as an entity’s home location for its activities or events.
-
B.
house
Indicates that one entity serves as a dwelling or residence for another entity.
-
C.
house1
Indicates that something is identified or classified as a house or dwelling.
-
D.
house2
Indicates a relationship where one entity is a secondary, related, or alternative house associated with another entity.
-
E.
houses
Indicates that one entity serves as a dwelling or shelter for another entity.
- F. None of above. chosen
Provenance (4 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_69bd43f07fa48190954317d01600994a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64c83af48190bd57be79c1505e9d |
completed | March 20, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69bd6223defc8190823665a6592c1154 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd6424a1d08190ac1d5fc574dc1b55 |
completed | March 20, 2026, 3:13 p.m. |
Created at: March 20, 2026, 1:20 p.m.