Triple
T8916076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tenedos (Bozcaada) |
E212299
|
entity |
| Predicate | historicalName |
P65
|
FINISHED |
| Object | Tenedos |
E212299
|
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: Tenedos | Statement: [Tenedos (Bozcaada), historicalName, Tenedos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenedos Context triple: [Tenedos (Bozcaada), historicalName, Tenedos]
-
A.
Tenedos (Bozcaada)
chosen
Tenedos (Bozcaada) is a small Turkish island in the northeastern Aegean Sea known for its historic architecture, vineyards, and strategic location near the Dardanelles.
-
B.
Bozcaada
Bozcaada is a Turkish Aegean island known for its historic castle, vineyards, and well-preserved traditional architecture.
-
C.
Prokonnesos
Prokonnesos is the ancient Greek name for Marmara Island, a historically significant island in the Sea of Marmara known for its marble quarries.
-
D.
Lemnos
Lemnos is a Greek island in the northern Aegean Sea known for its volcanic landscape, ancient sanctuaries, and traditional villages.
-
E.
Arnavutköy
Arnavutköy is a district on the European side of Istanbul, Turkey, known for its rapidly developing urban areas and hosting the city’s main international airport.
- 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_69ca8393b1808190bd4336787ffa2c40 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc660f6a088190b0af829ea809d8ad |
completed | April 1, 2026, 12:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd091f3448190aadd847d117bc166 |
completed | April 3, 2026, 2:37 p.m. |
Created at: March 30, 2026, 6:56 p.m.