Triple
T17564011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Sitia |
E427761
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Xerokampos |
—
|
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: Xerokampos | Statement: [Municipality of Sitia, containsSettlement, Xerokampos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xerokampos Context triple: [Municipality of Sitia, containsSettlement, Xerokampos]
-
A.
Xirokampos
chosen
Xirokampos is a small coastal village on the Greek island of Leros, known for its tranquil setting and traditional island character.
-
B.
Xanthos Valley
Xanthos Valley is an ancient region in southwestern Anatolia known as a central heartland of the Lycian civilization and its distinctive script.
-
C.
Eremalauda
Eremalauda is a small genus of larks, a group of ground-dwelling passerine birds adapted to open, often arid habitats.
-
D.
Erisma
Erisma is a genus of tropical flowering trees in the family Vochysiaceae, native mainly to South American forests.
-
E.
Kolymbithra
Kolymbithra is a coastal village on the Greek island of Tinos, known for its scenic beaches and tranquil Aegean setting.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4592bde448190bf5ed2340440e2b7 |
completed | April 19, 2026, 4:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.