Triple
T12739183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | İzmir ESHOT bus network |
E304442
|
entity |
| Predicate | serviceAreaIncludes |
P82
|
FINISHED |
| Object | Tire |
E696149
|
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: Tire | Statement: [İzmir ESHOT bus network, serviceAreaIncludes, Tire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tire Context triple: [İzmir ESHOT bus network, serviceAreaIncludes, Tire]
-
A.
Tire
chosen
Tire is a historic town and district in Turkey’s Aegean region, known for its traditional crafts, markets, and well-preserved Ottoman-era architecture.
-
B.
TYRES
TYRES is the stock ticker symbol for Nokian Tyres, a Finnish company specializing in the manufacture of premium tires, particularly for challenging weather conditions.
-
C.
Wheels
Wheels is a mathematical puzzle and recreational mathematics topic discussed in Martin Gardner’s collection "Wheels, Life and Other Mathematical Amusements."
-
D.
Wheels
"Wheels" is a song by Australian country singer-songwriter Kasey Chambers, recognized as one of her notable recordings.
-
E.
Firestone
Firestone is a major American tire brand known for supplying high-performance racing tires, particularly in open-wheel series like IndyCar.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9646cfcac81909283dca987755c0e |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c8ff57c8190a935b5c9f4bb5aa3 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.