Triple
T15663771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agios Ioannis Beach |
E376632
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Damouchari |
E1150136
|
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: Damouchari | Statement: [Agios Ioannis Beach, hasNearbyAttraction, Damouchari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damouchari Context triple: [Agios Ioannis Beach, hasNearbyAttraction, Damouchari]
-
A.
Damouchari
chosen
Damouchari is a small coastal village in the Pelion region of Greece, known for its picturesque harbor, traditional stone houses, and use as a filming location for the movie "Mamma Mia!".
-
B.
Gobardanga
Gobardanga is a town in the Indian state of West Bengal known for its suburban character and connectivity to Kolkata via the Sealdah–Bangaon railway line.
-
C.
Chanditala
Chanditala is a town in West Bengal, India, known as a suburban locality within the Kolkata metropolitan region.
-
D.
Baidyabati
Baidyabati is a suburban city in West Bengal, India, that forms part of the greater Kolkata urban agglomeration.
-
E.
Baghmara
Baghmara is a town in the South Garo Hills district of Meghalaya, India, known as a gateway to nearby forests, caves, and wildlife areas.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0e2668819092e52712cddd0721 |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ed6f50c81909d87ced263064f0d |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:16 a.m.