Triple
T5333338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TECOM Group |
E123363
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object | Dubai Media City |
E23819
|
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: Dubai Media City | Statement: [TECOM Group, owns, Dubai Media City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Media City Context triple: [TECOM Group, owns, Dubai Media City]
-
A.
Dubai Media City
chosen
Dubai Media City is a specialized free zone and business hub in Dubai that hosts regional and international media, advertising, and communications companies.
-
B.
Dubai Internet City
Dubai Internet City is a major technology and business park in Dubai that hosts regional headquarters and offices for numerous global IT and media companies.
-
C.
Dubai Studio City
Dubai Studio City is a media production and broadcasting hub in Dubai designed to support film, TV, music, and entertainment industries with specialized infrastructure and services.
-
D.
Dubai Design District
Dubai Design District is a purpose-built creative hub in Dubai that hosts design, fashion, art, and tech businesses, events, and studios.
-
E.
Dubai Knowledge Park
Dubai Knowledge Park is a specialized free zone in Dubai dedicated to education and human resource development, hosting universities, training institutes, and learning-focused organizations.
- 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ac8e10819088b6a9e02d927044 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf21bebea0819083e6deae67f3e834 |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 2 p.m.