Triple
T18038835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meydan |
E431584
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object | Meydan City |
—
|
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: Meydan City | Statement: [Meydan, developed, Meydan City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meydan City Context triple: [Meydan, developed, Meydan City]
-
A.
Meydan
chosen
Meydan is a Dubai-based real estate and development company best known for large-scale projects including the Meydan Racecourse and surrounding mixed-use communities.
-
B.
Eslamshahr
Eslamshahr is a city in Tehran Province, Iran, forming part of the southwestern suburban area of the capital Tehran.
-
C.
Sultanabad
Sultanabad is the former name of the Iranian city now known as Arak, an important industrial and historical center in central Iran.
-
D.
Zangilan city
Zangilan city is an urban settlement in southwestern Azerbaijan that serves as the administrative center of the Zangilan District near the borders with Armenia and Iran.
-
E.
Nasirshahr
Nasirshahr is a city in Robat Karim County within Tehran Province, Iran, functioning as a local urban center for the surrounding region.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be3cbe8c8190ba216eeebfc3cbec |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.