Triple
T37242986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennsylvania Sports Hall of Fame |
E923763
|
entity |
| Predicate | honorsConnectionType |
P188850
|
FINISHED |
| Object | birth in Pennsylvania |
—
|
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: birth in Pennsylvania | Statement: [Pennsylvania Sports Hall of Fame, honorsConnectionType, birth in Pennsylvania]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsConnectionType Context triple: [Pennsylvania Sports Hall of Fame, honorsConnectionType, birth in Pennsylvania]
-
A.
namingConnectionType
Indicates a relationship specifying the type or nature of a naming connection that exists between two entities.
-
B.
connectorType
Indicates the specific kind or category of connection interface that links two entities.
-
C.
compatibleConnection
Indicates that two entities can be connected or used together without conflict, supporting proper operation or interaction.
-
D.
connectorTypeDesignation
Indicates the specific type or classification assigned to a connector within a connection or interface relationship.
-
E.
hasNoConnectionType
Indicates that there is explicitly no defined type or category of connection between the related entities.
- 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_69f76ea9fee88190a589f661d95a7189 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbad1b3ba08190ad69e21461333f2e |
completed | May 6, 2026, 9:05 p.m. |
Created at: May 3, 2026, 4:15 p.m.