Triple
T36130777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of the Bible |
E1045006
|
entity |
| Predicate | hasThematicFloor |
P55706
|
FINISHED |
| Object | History of the Bible |
—
|
NE NERFINISHED |
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: History of the Bible | Statement: [Museum of the Bible, hasThematicFloor, History of the Bible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThematicFloor Context triple: [Museum of the Bible, hasThematicFloor, History of the Bible]
-
A.
hasFloorFeature
Indicates that a floor possesses or includes a specific feature or characteristic.
-
B.
hasThematicPavilion
chosen
Indicates that an entity includes or is associated with a specific thematic pavilion as part of its structure or offerings.
-
C.
hasFloor
Indicates that one entity possesses, includes, or is associated with a particular floor or level within a structure.
-
D.
hasFloorMaterial
Indicates that an entity’s floor is made of, covered with, or constructed from a specified material.
-
E.
hasFloorColor
Indicates that an entity possesses a floor whose surface is characterized by a specific color.
- 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_69f76e36a4508190b5bfc8f594272a4c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be53890081909b1d93f30a8f31c6 |
completed | May 3, 2026, 9:29 p.m. |
| PD | Predicate disambiguation | batch_69f7bccacbac8190978976324c67db28 |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.