Triple
T19042106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D92 road |
E466029
|
entity |
| Predicate | connectsDistrict |
P2564
|
FINISHED |
| Object | Al Ras |
—
|
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: Al Ras | Statement: [D92 road, connectsDistrict, Al Ras]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Ras Context triple: [D92 road, connectsDistrict, Al Ras]
-
A.
Al Ras
chosen
Al Ras is one of Dubai’s oldest commercial districts, known for its traditional markets, historic streets, and proximity to Dubai Creek.
-
B.
Al Wahat
Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
-
C.
El Wak
El Wak is a town located on the Somalia–Kenya border, serving as an important cross-border trading and transit point in the Gedo region.
-
D.
El Wak
El Wak is a small border town in northeastern Kenya near the Somali frontier, serving as a local trading and transit hub in the arid region.
-
E.
Dibba Al-Baya
Dibba Al-Baya is a coastal town in northern Oman, known for its location on the Gulf of Oman near the UAE border and its traditional fishing and maritime heritage.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d80118248190af6b4c74df5085ad |
completed | April 20, 2026, 7:38 a.m. |
Created at: April 10, 2026, 12:03 p.m.