Triple
T18730151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiat 124 platform |
E458012
|
entity |
| Predicate | usedFor |
P98
|
FINISHED |
| Object | Tofaş Serçe |
—
|
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: Tofaş Serçe | Statement: [Fiat 124 platform, usedFor, Tofaş Serçe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tofaş Serçe Context triple: [Fiat 124 platform, usedFor, Tofaş Serçe]
-
A.
Tofaş
chosen
Tofaş is a Turkish automotive manufacturer known for producing passenger cars and light commercial vehicles, often in collaboration with international brands like Fiat.
-
B.
Tofaş S.K.
Tofaş S.K. is a professional basketball club based in Bursa, Turkey, competing in the Turkish Basketball Super League and European competitions.
-
C.
Toptaş
Toptaş is a Turkish surname most notably borne by acclaimed contemporary novelist Hasan Ali Toptaş.
-
D.
Tofa
Tofa is a critically endangered Turkic language spoken by a small indigenous community in Siberia, Russia.
-
E.
Araba
Araba is the Basque-language name for Álava, a historic province in northern Spain that forms part of the Basque Country.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7660488190b4f70db963d05ef6 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.