Triple
T8048424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Azadi Square |
E187612
|
entity |
| Predicate | transliteration |
P2508
|
FINISHED |
| Object | Meydān-e Āzādī |
E187612
|
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: Meydān-e Āzādī | Statement: [Azadi Square, transliteration, Meydān-e Āzādī]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meydān-e Āzādī Context triple: [Azadi Square, transliteration, Meydān-e Āzādī]
-
A.
Azadi Square
chosen
Azadi Square is a major public square in western Tehran, Iran, known for hosting the iconic Azadi Tower and serving as a central site for gatherings and national events.
-
B.
Azadi Stadium
Azadi Stadium is a massive multi-purpose sports arena in Tehran, Iran, best known as the country’s national football stadium and one of the largest stadiums in the world.
-
C.
Meydan
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.
-
D.
Bandar-e Emam Khomeyni
Bandar-e Emam Khomeyni is a major port city in southwestern Iran on the Persian Gulf, serving as a key maritime and industrial hub.
-
E.
Meydan-e Azadi Metro Station
Meydan-e Azadi Metro Station is a major urban rail stop in Tehran serving the busy Azadi Square area as part of the city's metro network.
- 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_69ca82b15e948190a62fd7af5218426a |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f7711f48190af2002533c2e426a |
completed | March 31, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5716934481908ec60cc9fd825ad7 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:24 p.m.