Triple
T13281039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagliari Elmas Airport |
E316320
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Elmas |
E1030947
|
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: Elmas | Statement: [Cagliari Elmas Airport, locatedIn, Elmas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmas Context triple: [Cagliari Elmas Airport, locatedIn, Elmas]
-
A.
Elmas
chosen
Elmas is a town in southern Sardinia, Italy, known for hosting Cagliari’s main international airport.
-
B.
Batu
Batu is a rhythmic and energetic dance piece featured within the traditional Odissi classical dance repertoire of eastern India.
-
C.
Batu
Batu is a highland city in East Java, Indonesia, known for its cool climate, mountain scenery, and popular tourist attractions such as theme parks and apple orchards.
-
D.
Damga
Damga is a Turkish novel by Reşat Nuri Güntekin, known for its exploration of social and moral issues in early 20th-century Turkish society.
-
E.
Baltalimanı
Baltalimanı is a coastal neighborhood along the Bosphorus in Istanbul, known for its scenic waterfront and residential character.
- 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_69d806b349908190a9a61dd9323bf153 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d9904507588190a303686d176ec3e1 |
completed | April 11, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716cfea308190836eb4892e7c5eb4 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:27 p.m.