Triple
T8344127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hossein Amanat |
E195992
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Azadi Tower |
E35855
|
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: Azadi Tower | Statement: [Hossein Amanat, designed, Azadi Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azadi Tower Context triple: [Hossein Amanat, designed, Azadi Tower]
-
A.
Azadi Tower
chosen
Azadi Tower is an iconic white marble monument in Tehran, Iran, symbolizing the city’s modern identity and serving as a major cultural and historical landmark.
-
B.
Milad Tower
Milad Tower is a prominent multi-purpose telecommunications and observation tower in Tehran, Iran, and one of the tallest towers in the world.
-
C.
Azadi Square
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.
-
D.
Syahbandar Tower
Syahbandar Tower is a historic watchtower and former harbor control post in Jakarta’s old town, serving as a remnant of the city’s colonial maritime past.
-
E.
Enghelab Square
Enghelab Square is a major public square in central Tehran, Iran, known as a key cultural and transportation hub near universities, bookstores, and political gatherings.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fed6b588190ba5593859c8effc2 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde7a8595c81909f24a4b7af37f9f2 |
completed | April 2, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:58 p.m.