Triple
T6964342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LTFJ |
E161449
|
entity |
| Predicate | sideOfCityServed |
P9555
|
FINISHED |
| Object | Asian side of Istanbul |
—
|
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 of Istanbul | Statement: [LTFJ, sideOfCityServed, Asian side of Istanbul]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideOfCityServed Context triple: [LTFJ, sideOfCityServed, Asian side of Istanbul]
-
A.
cityServedType
Indicates the type or category of city that is served by a given entity (such as a facility, service, or infrastructure).
-
B.
cityServedRegion
Indicates that a city provides services to, or functions as an administrative or economic center for, a specified region.
-
C.
servedCity
Indicates that a service, route, or facility operates in, reaches, or is available to a particular city.
-
D.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
E.
boroughServed
chosen
Indicates that a given entity (such as a facility, service, or route) serves or provides coverage to a specific borough.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daf2b7bc8190a3e73f3b24f0352b |
completed | March 27, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c0b0a08190b262dfc94992994d |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:30 p.m.