Triple
T25505696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sultanahmet neighborhood |
E639238
|
entity |
| Predicate | hasPublicSquares |
P37084
|
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: [Sultanahmet neighborhood, hasPublicSquares, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicSquares Context triple: [Sultanahmet neighborhood, hasPublicSquares, yes]
-
A.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
B.
hasPublicSquareInFront
Indicates that a building or structure has a public square located directly in front of it.
-
C.
hasPublicSpaces
chosen
Indicates that an entity includes or provides areas that are accessible and usable by the general public.
-
D.
citySquareUsed
Indicates that a city square is being utilized or occupied for a particular purpose or activity.
-
E.
hasPublicSpaceAlong
Indicates that a public space (such as a park, plaza, or walkway) is located adjacent to or runs alongside the referenced feature or element.
- 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_69e75dbd09308190b6b5f0afdc12ec6d |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 21, 2026, 2:46 p.m.