Triple
T21739457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Jafiliya Metro Station |
E536613
|
entity |
| Predicate | hasNearbyNeighborhood |
P350
|
FINISHED |
| Object | Zabeel |
—
|
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: Zabeel | Statement: [Al Jafiliya Metro Station, hasNearbyNeighborhood, Zabeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabeel Context triple: [Al Jafiliya Metro Station, hasNearbyNeighborhood, Zabeel]
-
A.
Zabeel
Zabeel is a prominent district in Dubai, United Arab Emirates, known for its royal palaces, expansive parks, and major landmarks such as Zabeel Park and the Dubai Frame.
-
B.
Zubein
Zubein is a variant form of the given name Zubin, which is used as a personal name in various cultures.
-
C.
Zababdeh
Zababdeh is a predominantly Christian Palestinian town in the northern West Bank known as a local religious and educational center.
-
D.
Zuhab
Zuhab is a historic town in western Iran, near the Ottoman border, known primarily as the site where the 1639 Treaty of Zuhab between the Ottoman Empire and Safavid Persia was concluded.
-
E.
Zabeel, Dubai
chosen
Zabeel, Dubai is an upscale district in Dubai known for its royal palaces, large public parks, and prominent sports and leisure facilities.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a714c208190b96efe23ed3bf0db |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.