Triple
T18344602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Furjan Metro Station |
E439502
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Al Furjan |
—
|
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 Furjan | Statement: [Al Furjan Metro Station, serves, Al Furjan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Furjan Context triple: [Al Furjan Metro Station, serves, Al Furjan]
-
A.
Al Furjan
chosen
Al Furjan is a master-planned residential community in Dubai, United Arab Emirates, known for its family-friendly environment, villas and apartments, and proximity to major city hubs.
-
B.
Al Majarrah
Al Majarrah is a waterfront district in Sharjah, United Arab Emirates, known for its cultural landmarks and museums.
-
C.
Al Wahat
Al Wahat is a region in northeastern Libya known for its desert oases and role in the country’s oil-producing area.
-
D.
Al-Wafra
Al-Wafra is an agricultural town in southern Kuwait known for its extensive farms and greenhouses that supply much of the country’s fresh produce.
-
E.
Rubud Ash Sharqiyah
Rubud Ash Sharqiyah is one of the islands within Bahrain’s Hawar Islands archipelago in the Persian Gulf.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e514f2c8ec8190b045482846a68204 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 10:37 a.m.