Triple
T83444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bridgewater Hall |
E1677
|
entity |
| Predicate | numberOfOrganPipes |
P3426
|
FINISHED |
| Object | about 5500 |
—
|
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: about 5500 | Statement: [Bridgewater Hall, numberOfOrganPipes, about 5500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfOrganPipes Context triple: [Bridgewater Hall, numberOfOrganPipes, about 5500]
-
A.
numberOfBells
Indicates the quantity of bells associated with or present in a given entity or context.
-
B.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an entity.
-
C.
originalNumberOfBells
Indicates the initial count of bells associated with an entity before any changes or modifications occur.
-
D.
numberOfHalls
Indicates the quantity of halls associated with a given entity or location.
-
E.
numberOfStations
Indicates the total count of stations associated with or contained by a given entity.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f4ccb5081908decac81f4af01bf |
completed | Feb. 28, 2026, 2:13 a.m. |
| PD | Predicate disambiguation | batch_69a24eb469548190b38c24e81f36c838 |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24f4b4658819087902414959161fb |
completed | Feb. 28, 2026, 2:13 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.