Triple
T17663191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DURL |
E440302
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Yapi Merkezi |
—
|
NE NERFINISHED |
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: Yapi Merkezi | Statement: [DURL, hasMember, Yapi Merkezi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yapi Merkezi Context triple: [DURL, hasMember, Yapi Merkezi]
-
A.
Yapi Merkezi
chosen
Yapi Merkezi is a Turkish construction and engineering company known for major rail and infrastructure projects in Turkey and abroad.
-
B.
Istanbul Technical University Rectorate
Istanbul Technical University Rectorate is the central administrative authority overseeing Istanbul Technical University and its various faculties and academic units.
-
C.
Ülker
Ülker is a major Turkish food company best known for its wide range of confectionery and snack products.
-
D.
Florya Metin Oktay Tesisleri
Florya Metin Oktay Tesisleri is Galatasaray SK’s main training complex and football facility located in the Florya district of Istanbul.
-
E.
State Hydraulic Works of Turkey
The State Hydraulic Works of Turkey is the government agency responsible for the country’s water resources development, including the planning, construction, and operation of major dams, irrigation schemes, and flood control projects.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:51 a.m.