Triple
T4398236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hull Maritime Museum |
E99545
|
entity |
| Predicate | previousBuildingUse |
P55864
|
FINISHED |
| Object | Dock Offices |
—
|
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: Dock Offices | Statement: [Hull Maritime Museum, previousBuildingUse, Dock Offices]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousBuildingUse Context triple: [Hull Maritime Museum, previousBuildingUse, Dock Offices]
-
A.
formerLandUse
Indicates the type of land use that characterized a location prior to its current or present use.
-
B.
buildingUsedSince
Indicates that a particular building has been in use starting from a specified point in time.
-
C.
previousBuildingDemolished
Indicates that a building which previously occupied the same site or fulfilled the same role has been demolished.
-
D.
buildingReuseType
Indicates the manner or purpose for which an existing building is reused or repurposed.
-
E.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
- 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_69b345506b408190b0e3dee616738a7d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b352adce588190b9e6ed53458aa1e1 |
completed | March 12, 2026, 11:56 p.m. |
| PD | Predicate disambiguation | batch_69b34f597998819092477efdedb51427 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b34ff654308190b9717526120d80d3 |
completed | March 12, 2026, 11:44 p.m. |
Created at: March 12, 2026, 11:20 p.m.