Triple
T470407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NEMO Science Museum |
E8542
|
entity |
| Predicate | buildingShape |
P13381
|
FINISHED |
| Object | ship-like |
—
|
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: ship-like | Statement: [NEMO Science Museum, buildingShape, ship-like]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: buildingShape Context triple: [NEMO Science Museum, buildingShape, ship-like]
-
A.
buildingType
Indicates the specific category or function that characterizes what kind of building something is.
-
B.
building
Indicates that one entity constructs, assembles, or develops another entity, typically over a period of time.
-
C.
towerShape
Indicates that one entity has the physical form or outline of a tower in relation to another entity.
-
D.
architectureType
Indicates the specific style or category of architecture that characterizes or defines an entity.
-
E.
buildingSection
Indicates a relationship where one entity is a specific section, part, or subdivision of a larger building.
- 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_69a2e7f3aeb48190a19453e3a043f486 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2efef8b788190857ebf66df562d59 |
completed | Feb. 28, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69a2edecefb081908331ef8b9edf6636 |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eeba8a488190986cc7381332f783 |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.