Triple
T37627410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | main Louis Kahn building |
E936247
|
entity |
| Predicate | numberOfVaults |
P206010
|
FINISHED |
| Object | 16 |
—
|
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: 16 | Statement: [main Louis Kahn building, numberOfVaults, 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVaults Context triple: [main Louis Kahn building, numberOfVaults, 16]
-
A.
vaultNumber
Indicates a relationship where a specific vault is identified or referenced by its assigned number.
-
B.
heightOfVaults
Indicates the measured vertical dimension or elevation of vault structures.
-
C.
numberOfVolumes
Indicates the total count of separate volumes or parts that make up a multi-volume work or collection.
-
D.
numberOfVestibules
Indicates the quantity of vestibules associated with or present in an entity.
-
E.
numberOfChambers
Indicates the count of distinct chambers or compartments associated with an 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:18 p.m.