Triple
T4706960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakheel Properties |
E104410
|
entity |
| Predicate | developerOf |
P13609
|
FINISHED |
| Object | Dragon Mart |
E463606
|
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: Dragon Mart | Statement: [Nakheel Properties, developerOf, Dragon Mart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragon Mart Context triple: [Nakheel Properties, developerOf, Dragon Mart]
-
A.
Dragon Mart
chosen
Dragon Mart is a massive Chinese-themed retail and trading complex in Dubai, known as one of the largest hubs for Chinese products outside mainland China.
-
B.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
-
C.
The New Mart
The New Mart is a prominent wholesale showroom building in Los Angeles’ Fashion District, known for housing numerous contemporary apparel and fashion industry tenants.
-
D.
Macroplaza
Macroplaza is a vast central square and civic complex in downtown Monterrey, Mexico, known for its monuments, gardens, and surrounding government and cultural buildings.
-
E.
Lumine department store
Lumine department store is a popular Japanese shopping complex chain known for its fashion, lifestyle, and dining offerings, particularly around major train hubs like Shinjuku.
- 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63e9f0b88190820aa7fba2f91b6e |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be39e6428c81909be9bdb314993b1e |
completed | March 21, 2026, 6:25 a.m. |
Created at: March 20, 2026, 1:17 p.m.