Triple
T5197515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OMDB |
E117307
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Garhoud, Dubai |
E336806
|
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: Garhoud, Dubai | Statement: [OMDB, locatedNear, Garhoud, Dubai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garhoud, Dubai Context triple: [OMDB, locatedNear, Garhoud, Dubai]
-
A.
Garhoud, Dubai
chosen
Garhoud, Dubai is a prominent mixed-use district near Dubai International Airport known for hosting major corporate offices, hotels, and residential communities.
-
B.
Al Ain
Al Ain is a historic oasis city in the Emirate of Abu Dhabi in the United Arab Emirates, known for its date palm plantations, forts, and role as a cultural and agricultural center.
-
C.
Dubai South
Dubai South is a master-planned city in Dubai, United Arab Emirates, developed as an aviation and logistics hub and future urban center that hosted the Expo 2020 site.
-
D.
Sheikh Zayed City
Sheikh Zayed City is a planned suburban city in Egypt known for its residential communities, green spaces, and location on the western outskirts of Cairo.
-
E.
Zabeel, Dubai
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 (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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a1dbf7881909ed596ffdd1219bb |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee09d84f08190b8270394fc35e195 |
completed | March 21, 2026, 6:17 p.m. |
Created at: March 20, 2026, 1:46 p.m.