Triple
T4087017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Highland bagpipe |
E87611
|
entity |
| Predicate | hasBoreType |
P52917
|
FINISHED |
| Object | conical chanter bore |
—
|
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: conical chanter bore | Statement: [Great Highland bagpipe, hasBoreType, conical chanter bore]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoreType Context triple: [Great Highland bagpipe, hasBoreType, conical chanter bore]
-
A.
cylinderBore
Indicates the diameter of the cylindrical chamber (bore) in which a piston or similar component moves.
-
B.
bore
Indicates that one entity caused another entity to feel uninterested, tired, or lacking in engagement.
-
C.
hasBenchType
Indicates that an entity is associated with or characterized by a specific type or category of bench.
-
D.
bogieType
Indicates the specific configuration or classification of a vehicle’s bogie (wheel assembly) used in its design or operation.
-
E.
hasSternType
Indicates that an entity (typically a vessel) possesses a specific type or design of stern.
- 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_69aed94425148190be337845d56fac22 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc7ceeb48190807f0f5078ccfa12 |
completed | March 9, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69aef909c9c88190b09d48dad325a83c |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aef9b34dec81909bbc3def9decc71a |
completed | March 9, 2026, 4:47 p.m. |
Created at: March 9, 2026, 3:39 p.m.