Triple
T2656813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manneken Pis |
E54630
|
entity |
| Predicate | numberOfCostumes |
P42023
|
FINISHED |
| Object | over 1000 |
—
|
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: over 1000 | Statement: [Manneken Pis, numberOfCostumes, over 1000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCostumes Context triple: [Manneken Pis, numberOfCostumes, over 1000]
-
A.
costumeType
Indicates the specific kind or category of costume associated with an entity.
-
B.
costumeElement
Indicates that one item functions as a component or part of another item's costume.
-
C.
designedCostumesFor
Indicates that one entity created or planned the costumes used by another entity, typically for a performance, production, or event.
-
D.
isCostumed
Indicates that an entity is wearing or otherwise adorned with a costume.
-
E.
haveDistinctCostume
Indicates that the entities each possess a costume that is different from the others’ costumes.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abda0ba2208190ad87763ecbef8c3c |
completed | March 7, 2026, 7:55 a.m. |
| PD | Predicate disambiguation | batch_69abd815d06481909535c02b0aba8553 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abda0a13308190a986df86270258a7 |
completed | March 7, 2026, 7:55 a.m. |
Created at: March 6, 2026, 9:53 p.m.