Triple
T4057995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadi an-Nar |
E84739
|
entity |
| Predicate | hasNameVariant |
P457
|
FINISHED |
| Object | Wadi an-Nār |
E84739
|
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: Wadi an-Nār | Statement: [Wadi an-Nar, hasNameVariant, Wadi an-Nār]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wadi an-Nār Context triple: [Wadi an-Nar, hasNameVariant, Wadi an-Nār]
-
A.
Wadi an-Nar
chosen
Wadi an-Nar is the Arabic name for the Kidron Valley’s seasonal watercourse that runs between Jerusalem and the Dead Sea.
-
B.
Wadi Al-Fara
Wadi Al-Fara is a town in Saudi Arabia’s Al Madinah Province, known for its location along a seasonal valley (wadi) in the western part of the country.
-
C.
Wadi Fira
Wadi Fira is an administrative region in eastern Chad known for its arid Sahelian landscape and predominantly rural population.
-
D.
Wadi El Rayan
Wadi El Rayan is a protected natural depression in Egypt’s Western Desert known for its man-made lakes, waterfalls, and diverse desert and wetland ecosystems.
-
E.
Wadi ad-Dawasir
Wadi ad-Dawasir is a town and oasis area in southern Riyadh Province, Saudi Arabia, known for its agriculture and location along a major desert valley.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f15f0088190b2ec453183f0ca7f |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:38 p.m.