Triple
T11931236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Square |
E283913
|
entity |
| Predicate | isOpenArea |
P78910
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Central Square, isOpenArea, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenArea Context triple: [Central Square, isOpenArea, yes]
-
A.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
B.
isOpenSpace
chosen
Indicates that a given area or location is an unobstructed, accessible space rather than an enclosed or confined one.
-
C.
openStatus
Indicates whether an entity (such as a place, service, or resource) is currently open or available for use.
-
D.
openingKeyArea
Indicates that an entity serves as the primary or initial tonal or thematic area in which a work, section, or movement begins.
-
E.
isOpenStandard
Indicates that something conforms to a publicly available, non-proprietary standard that can be implemented and used without restrictive licensing.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90303a9a88190a4044e6310ba9b4b |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.