Triple
T7903093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterlooplein market |
E183502
|
entity |
| Predicate | outdoorOrIndoor |
P51732
|
FINISHED |
| Object | outdoor market |
—
|
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: outdoor market | Statement: [Waterlooplein market, outdoorOrIndoor, outdoor market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: outdoorOrIndoor Context triple: [Waterlooplein market, outdoorOrIndoor, outdoor market]
-
A.
indoorOrOutdoor
Indicates whether an activity, event, or entity occurs inside a building (indoors) or outside in open air (outdoors).
-
B.
isOutdoor
Indicates that an entity or activity takes place outside, in an open-air or non-enclosed environment.
-
C.
outdoorVenue
chosen
Indicates that an event, activity, or gathering takes place at a location situated outdoors rather than inside a building or enclosed structure.
-
D.
isOutdoorFacility
Indicates that a facility is located outdoors or primarily functions in an open-air environment.
-
E.
outdoorSection
Indicates that one entity is a section, area, or portion that is located outdoors or in an open-air environment relative to 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a41b0fc81909890f2e4f432a5cf |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:02 p.m.