Triple
T8860090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US Airways Center |
E210863
|
entity |
| Predicate | hasAlternateConfiguration |
P13644
|
FINISHED |
| Object | ice hockey rink |
—
|
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: ice hockey rink | Statement: [US Airways Center, hasAlternateConfiguration, ice hockey rink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateConfiguration Context triple: [US Airways Center, hasAlternateConfiguration, ice hockey rink]
-
A.
hasAlternateCut
Indicates that an entity has an alternative edited version or cut, distinct from its primary or original form.
-
B.
hasAlternateRegisterSet
Indicates that an entity is associated with an additional, distinct set of registers that can be used as an alternative to its primary register set.
-
C.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
D.
hasAlternateMemberType
Indicates that an entity is associated with a different or substitute type of member than its primary or standard member type.
-
E.
hasAlternativeContext
Indicates that something is associated with an additional or different contextual setting or interpretation beyond its primary one.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.