Triple
T13966217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tzia |
E335929
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Otzias |
E335934
|
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: Otzias | Statement: [Tzia, hasSettlement, Otzias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Otzias Context triple: [Tzia, hasSettlement, Otzias]
-
A.
Otzias
chosen
Otzias is a coastal village and beach resort on the Greek island of Kea in the Cyclades.
-
B.
Ozar
Ozar is a town in the Nashik district of Maharashtra, India, known for its proximity to Nashik city and its role as a regional industrial and aviation hub.
-
C.
Tzippori
Tzippori is an archaeological site and modern village in Israel known for its rich remains from the Roman and Byzantine periods, including impressive mosaics and ancient Jewish and early Christian heritage.
-
D.
Yatomi
Yatomi is a city in central Japan known for its location in Aichi Prefecture and its role as a local residential and agricultural community.
-
E.
Shemia
Shemia is an American politician and attorney best known for serving as Oregon’s Secretary of State.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e8c9e988190a84c9ca8a78b515f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1da70588190a6c9a3895d92be5b |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.