Triple
T22595448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Distomo-Arachova-Antikyra |
E574667
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Antikyra |
—
|
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: Antikyra | Statement: [Distomo-Arachova-Antikyra, containsSettlement, Antikyra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antikyra Context triple: [Distomo-Arachova-Antikyra, containsSettlement, Antikyra]
-
A.
Anticyra
chosen
Anticyra is an ancient Greek coastal town in the region of Phocis, historically noted for its harbor and its association with medicinal hellebore.
-
B.
Siklós
Siklós is a historic town in southern Hungary known for its medieval castle and wine-producing region.
-
C.
Sigeion
Sigeion was an ancient Greek city in the Troad region near the entrance to the Hellespont, strategically important for controlling access to the Black Sea.
-
D.
Antistia
Antistia was the first wife of the Roman general and statesman Pompey the Great, whom he married early in his political career.
-
E.
Ankyra
Ankyra is the ancient name of the city that later became Ankara, the capital of modern Turkey.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16268cb54819084a0f27ec0473f35 |
completed | April 29, 2026, 1:44 a.m. |
Created at: April 17, 2026, 2:49 p.m.