Triple
T7820141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zoology Gallery (Oxford University Museum of Natural History) |
E181106
|
entity |
| Predicate | hasTypeOfDisplay |
P5731
|
FINISHED |
| Object | permanent exhibition |
—
|
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: permanent exhibition | Statement: [Zoology Gallery (Oxford University Museum of Natural History), hasTypeOfDisplay, permanent exhibition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfDisplay Context triple: [Zoology Gallery (Oxford University Museum of Natural History), hasTypeOfDisplay, permanent exhibition]
-
A.
hasDisplayType
chosen
Indicates the type or category of display associated with an entity, such as the format, mode, or presentation style used to show its content.
-
B.
displayType
Indicates the manner or format in which something is presented, shown, or rendered.
-
C.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
D.
dataTypeDisplayed
Indicates that a particular data type is currently being shown or rendered in a given context or interface.
-
E.
hasOuterDisplay
Indicates that one entity serves as the external or outward-facing display component of another entity.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa06d28881908d62d4c02b45cedd |
completed | March 30, 2026, 10:32 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:41 p.m.