Triple
T35479179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wanamaker Grand Court Organ |
E1025421
|
entity |
| Predicate | hasNumberOfManuals |
P17558
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Wanamaker Grand Court Organ, hasNumberOfManuals, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfManuals Context triple: [Wanamaker Grand Court Organ, hasNumberOfManuals, 6]
-
A.
hasManual
Indicates that an entity is associated with a manual that provides instructions or documentation for it.
-
B.
organManuals
chosen
Indicates a relationship where specific manuals or keyboards belong to, are part of, or are associated with a particular organ instrument.
-
C.
becameStandardManualAt
Indicates that something was adopted as the official or commonly accepted manual or reference at a particular time or place.
-
D.
documentationAvailableIn
Indicates that documentation for an entity is available in a specified medium, format, or location.
-
E.
hasNumberOfHands
Indicates the specific count of hands that an entity possesses.
- 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_69f76dfadba0819083456aadcd6864ea |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fef2db323c8190821bda53f22a42be |
completed | May 9, 2026, 8:39 a.m. |
| PD | Predicate disambiguation | batch_69fef21d63c88190abf6a99b59b3c655 |
completed | May 9, 2026, 8:36 a.m. |
Created at: May 3, 2026, 4:04 p.m.