Triple
T38358841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbeque Bend |
E1046410
|
entity |
| Predicate | turnNumber |
P30551
|
FINISHED |
| Object | early turn of the circuit |
—
|
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: early turn of the circuit | Statement: [Barbeque Bend, turnNumber, early turn of the circuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turnNumber Context triple: [Barbeque Bend, turnNumber, early turn of the circuit]
-
A.
turnType
Indicates the specific kind or category of turn being made in a movement or path (e.g., left turn, right turn, U-turn).
-
B.
numberOfTurns
chosen
Indicates the total count of discrete turns or rotations involved in an interaction, process, or motion.
-
C.
movementNumber
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
-
D.
termNumberWon
Indicates the number of distinct terms or periods in which the subject has achieved a win or victory.
-
E.
roundCount
Indicates the number of discrete rounds or iterations that have occurred or are allocated within a process, event, or interaction.
- 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_69f76e3a94fc81908edc175e8d259e80 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcc7a4d7f881908b43b960911b81e9 |
completed | May 7, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69fcc589720c819089c8f500fea3c86a |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:31 p.m.