Triple
T5969030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varlaam Monastery |
E132824
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object | Kalambaka |
E20276
|
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: Kalambaka | Statement: [Varlaam Monastery, nearestTown, Kalambaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalambaka Context triple: [Varlaam Monastery, nearestTown, Kalambaka]
-
A.
Kalambaka
chosen
Kalambaka is a town in central Greece best known as the gateway to the Meteora monasteries perched atop towering rock formations.
-
B.
Karyes
Karyes is the principal administrative and spiritual center of the monastic community on Mount Athos in Greece.
-
C.
Poliochni
Poliochni is an important prehistoric Aegean settlement on the island of Lemnos, often noted as one of the earliest known urban centers in Europe.
-
D.
Amfissa
Amfissa is a historic town in central Greece, near Delphi, known for its ancient roots, traditional architecture, and olive cultivation in the surrounding Crisaean plain.
-
E.
Elatochori
Elatochori is a mountain village and popular ski resort area in the Pieria regional unit of northern Greece.
- 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_69c0086deab081908550159ca23eec9b |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c03a40cfe08190a40de42831af7cf8 |
completed | March 22, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e40506848190843971e772d56054 |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:03 p.m.