Triple
T15984615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polatlı Campus |
E387660
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Polatlı |
E315503
|
NE 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: Polatlı | Statement: [Polatlı Campus, locatedIn, Polatlı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polatlı Context triple: [Polatlı Campus, locatedIn, Polatlı]
-
A.
Polatlı
chosen
Polatlı is a town and district in central Turkey known for its agricultural economy and its proximity to the historic Battle of Sakarya site.
-
B.
Sulakyurt
Sulakyurt is a small town and district in central Turkey, located within Kırıkkale Province.
-
C.
Muratlı
Muratlı is a town and district in Turkey’s Thrace region, located within Tekirdağ Province and known for its agricultural and industrial activities.
-
D.
Oğuzeli
Oğuzeli is a town and district in Gaziantep Province in southeastern Turkey, known for its proximity to Gaziantep Oğuzeli International Airport and its role in the region’s agricultural and local trade activities.
-
E.
Karapürçek
Karapürçek is a neighborhood located within the Altındağ district of Ankara, Turkey.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15757a3548190900de1962308f6b8 |
completed | April 16, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3cdf7848190848e9081027dc027 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:54 a.m.