Triple
T12453081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arar Governorate |
E297580
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Arar |
E196368
|
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: Arar | Statement: [Arar Governorate, hasCity, Arar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arar Context triple: [Arar Governorate, hasCity, Arar]
-
A.
Arar
chosen
Arar is a city in northern Saudi Arabia that serves as the capital of the Northern Borders Region and a regional center for trade and administration.
-
B.
Verges
Verges is a minor comedic character in William Shakespeare's play "Much Ado About Nothing," serving as the bumbling assistant to the constable Dogberry.
-
C.
Arpa River
The Arpa River is a river in the Indian state of Chhattisgarh that flows through the city of Bilaspur and serves as an important local waterway.
-
D.
Arpa River
The Arpa River is a significant transboundary river in the South Caucasus, flowing mainly through Armenia and into Azerbaijan, and serving as an important water source for irrigation, hydropower, and local ecosystems.
-
E.
Nahe
Nahe is a renowned German wine region, particularly celebrated for producing high-quality Riesling wines with diverse styles due to its varied soils and microclimates.
- 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_69d6ada166c48190b902972cd2408fa3 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94da0b5988190b9df26dd3bb87337 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b9f4dd08190b1d62b03d68cc8a6 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.