Triple
T2964170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amorgos |
E80120
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Katapola |
E319237
|
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: Katapola | Statement: [Amorgos, hasPort, Katapola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katapola Context triple: [Amorgos, hasPort, Katapola]
-
A.
Katapola
chosen
Katapola is a coastal village and main port on the Greek island of Amorgos, known for its sheltered bay and traditional Cycladic character.
-
B.
Koropi
Koropi is a town in the Athens metropolitan area of Greece, known as the seat of the municipality of Kropia and a local hub in the Mesogeia plain.
-
C.
Khopyor
Khopyor is a major river in southwestern Russia that flows through the Central Russian Upland before joining the Don River.
-
D.
Terevaka
Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
-
E.
Nidzica
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9958b1e48190a77f37bf63333c5b |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1de92f04c8190967ec290cba891a6 |
completed | March 11, 2026, 9:28 p.m. |
Created at: March 8, 2026, 2:58 p.m.