Triple
T12805224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemeraltı Bazaar |
E306126
|
entity |
| Predicate | cityQuarterType |
P31781
|
FINISHED |
| Object | commercial district |
—
|
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: commercial district | Statement: [Kemeraltı Bazaar, cityQuarterType, commercial district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityQuarterType Context triple: [Kemeraltı Bazaar, cityQuarterType, commercial district]
-
A.
cityQuarterNumber
Indicates the specific numbered quarter or district within a city to which an entity belongs or is associated.
-
B.
cityDistrictType
chosen
Indicates the type or classification of a city district within an urban or administrative structure.
-
C.
situatedInQuarter
Indicates that one entity is located within or belongs to a specific quarter or district of a larger area.
-
D.
urbanDistrictType
Indicates the classification of an urban district according to its specific type or category within an administrative or planning system.
-
E.
cityDistrictLevel
Indicates that one administrative unit is a district-level subdivision within a given city in the territorial hierarchy.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:30 p.m.