Triple
T5982810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ART |
E133157
|
entity |
| Predicate | intendedSetting |
P1957
|
FINISHED |
| Object | urban public space |
—
|
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: urban public space | Statement: [ART, intendedSetting, urban public space]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedSetting Context triple: [ART, intendedSetting, urban public space]
-
A.
setting
chosen
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
B.
usedAsSettingFor
Indicates that one entity serves as the backdrop, location, or environment in which another entity (such as an event, story, or activity) takes place.
-
C.
basedOnSetting
Indicates that one entity is derived from, influenced by, or constructed using the setting or contextual environment defined by another entity.
-
D.
secondarySetting
Indicates that an entity serves as an additional or supporting setting context for another entity, rather than being the primary setting.
-
E.
intendedPower
Indicates the level or amount of power that an entity is designed, planned, or expected to produce, use, or deliver under intended operating conditions.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a6a9f2c8190b900cd7e3ab9fe42 |
completed | March 22, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69c049de98648190962b14fd341c93da |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:04 p.m.