Triple
T18432193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karama |
E450297
|
entity |
| Predicate | adjacentTo |
P224
|
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: [Karama, adjacentTo, Zabeel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zabeel Context triple: [Karama, adjacentTo, 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.
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.
-
E.
Mahboula
Mahboula is a coastal residential district in the Ahmadi Governorate of Kuwait, known for its high-rise apartments and proximity to Kuwait City.
- 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_69d8d381d6388190a9e94e9c658174e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e51b1771788190b26afdf65e9de502 |
completed | April 19, 2026, 6:12 p.m. |
Created at: April 10, 2026, 11:26 a.m.