Triple
T1192627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pac-12 South Division |
E25395
|
entity |
| Predicate | geographicOrientation |
P3227
|
FINISHED |
| Object | South |
—
|
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: South | Statement: [Pac-12 South Division, geographicOrientation, South]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicOrientation Context triple: [Pac-12 South Division, geographicOrientation, South]
-
A.
geographicContext
chosen
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
B.
orientation
Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
-
C.
streetGridOrientation
Indicates the predominant directional alignment or pattern of streets within a given area or city layout.
-
D.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
E.
socialOrientation
Indicates the nature or direction of an entity’s social tendencies, such as how it typically relates to, interacts with, or aligns itself within social contexts or groups.
- 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_69a49427d98881908646d6c63b8cea1e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd761ef08190b431b80f326d1ab2 |
completed | March 1, 2026, 10:28 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5bacc481909e8dfd5215e4711a |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.