Triple
T1604521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Conference (AHL) |
E34469
|
entity |
| Predicate | geographicalGrouping |
P5147
|
FINISHED |
| Object | western-based teams |
—
|
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: western-based teams | Statement: [Western Conference (AHL), geographicalGrouping, western-based teams]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geographicalGrouping Context triple: [Western Conference (AHL), geographicalGrouping, western-based teams]
-
A.
regionalGrouping
chosen
Indicates that entities are organized or associated together based on shared geographic or regional characteristics.
-
B.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
C.
geographicDistribution
Indicates the spatial range or area over which something occurs, exists, or is found.
-
D.
regionClassification
Indicates how a given area or location is categorized into a specific region based on defined criteria or boundaries.
-
E.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.