Triple
T21522268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avşa |
E531003
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Avşa Island |
—
|
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: Avşa Island | Statement: [Avşa, locatedIn, Avşa Island]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avşa Island Context triple: [Avşa, locatedIn, Avşa Island]
-
A.
Avşa Island
chosen
Avşa Island is a popular Turkish holiday island in the Sea of Marmara, known for its beaches, nightlife, and vineyards.
-
B.
Tarama Island
Tarama Island is a small, remote island in Okinawa Prefecture, Japan, known for its traditional Ryukyuan culture, clear coral-rich waters, and relatively untouched natural landscapes.
-
C.
Bitlik Island
Bitlik Island is a small island located within the Tanga Islands archipelago off the northeastern coast of Papua New Guinea.
-
D.
Paşalimanı Island
Paşalimanı Island is a small Turkish island in the Sea of Marmara known for its tranquil villages, olive groves, and relatively undeveloped, natural coastline.
-
E.
Çarpanak Island
Çarpanak Island is a small island in eastern Turkey’s Lake Van, notable for its historic Armenian monastery and scenic, rugged landscape.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884cff5881908d93a54578e7b1b0 |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.