Triple
T14944364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bneid Al Gar |
E372614
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Dasman |
E1089810
|
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: Dasman | Statement: [Bneid Al Gar, nearbyPlace, Dasman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dasman Context triple: [Bneid Al Gar, nearbyPlace, Dasman]
-
A.
Dasman
chosen
Dasman is a coastal district in Kuwait City known for its historic palace and strategic location along the Persian Gulf.
-
B.
Belqas
Belqas is a notable city in Egypt’s Dakahlia Governorate, recognized as an important local urban and administrative center in the Nile Delta region.
-
C.
Wad Madani
Wad Madani is a major city in east-central Sudan and the capital of Al Jazirah state, serving as an important commercial and agricultural hub along the Blue Nile.
-
D.
Behaim
Behaim is a German surname most notably associated with Martin Behaim, a 15th-century cartographer credited with creating one of the earliest surviving terrestrial globes.
-
E.
Sawalha
Sawalha is a family name most notably associated with British actresses Julia and Nadia Sawalha.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68d20048190a403af85fe43dede |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9484e8819086ca6a59d672e49d |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:39 a.m.