Triple
T21965659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Küçükmenderes River |
E542448
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tire |
—
|
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: Tire | Statement: [Küçükmenderes River, locatedNear, Tire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tire Context triple: [Küçükmenderes River, locatedNear, 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.
Wheels
"Wheels" is a country-rock song associated with musician Chris Hillman, reflecting his influential role in the development of the genre.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245aabf88190a44564e6eaaa94ce |
completed | April 28, 2026, 9:19 p.m. |
Created at: April 16, 2026, 8:01 p.m.