Triple
T12739674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Göztepe |
E304455
|
entity |
| Predicate | locatedOnSideOfIstanbul |
P31095
|
FINISHED |
| Object | Asian side |
—
|
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: Asian side | Statement: [Göztepe, locatedOnSideOfIstanbul, Asian side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnSideOfIstanbul Context triple: [Göztepe, locatedOnSideOfIstanbul, Asian side]
-
A.
isLocatedOn
Indicates that one entity exists at or is situated upon the surface or area of another entity.
-
B.
terminusCityOnBlackSea
Indicates that the city serves as a terminus (end point) of a route or connection located on the Black Sea.
-
C.
locatedOnPeninsula
Indicates that one entity is situated on or within the geographic area of a peninsula.
-
D.
situatedOnSideOf
chosen
Indicates that one entity is located along or beside the lateral part or edge of another entity.
-
E.
wasOttomanCity
Indicates that a location previously functioned as a city within the territorial or administrative domain of the Ottoman Empire.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:26 p.m.