Triple
T19335129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhinvali Dam |
E483601
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Zhinvali |
—
|
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: Zhinvali | Statement: [Zhinvali Dam, namedAfter, Zhinvali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zhinvali Context triple: [Zhinvali Dam, namedAfter, Zhinvali]
-
A.
Zhinvali
chosen
Zhinvali is a settlement in eastern Georgia known for its proximity to the Zhinvali Reservoir and its scenic mountainous surroundings.
-
B.
Zavalita
Zavalita is the disillusioned journalist and central protagonist of Mario Vargas Llosa’s novel "Conversation in the Cathedral," whose reflections expose the moral and political decay of mid-20th-century Peru.
-
C.
Zayigna
Zayigna is an alternative name for the Zay language, an Afroasiatic language spoken by the Zay people of Ethiopia.
-
D.
Zhilinda
Zhilinda is a small rural settlement located along the Olenyok River in the remote northern region of Siberia, Russia.
-
E.
Oruzgan
Oruzgan is a central Afghan province known for its mountainous terrain, tribal Pashtun population, and strategic role in recent conflicts.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61644b80c819080f9bca086424a36 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.