Triple
T8127694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taj |
E189775
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Taj Tehran |
E189775
|
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: Taj Tehran | Statement: [Taj, alsoKnownAs, Taj Tehran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taj Tehran Context triple: [Taj, alsoKnownAs, Taj Tehran]
-
A.
Azadi Tower
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.
Sa’dabad Complex
Sa’dabad Complex is a vast historical and cultural palace complex in northern Tehran that once served as a royal residence and now functions as a museum and public attraction.
-
C.
Sangi Takht
Sangi Takht is a town in central Afghanistan that serves as a local administrative and population center within Daykundi Province.
-
D.
Taj
chosen
Taj was the former name of Esteghlal F.C., one of Iran’s most successful and popular football clubs.
-
E.
Masjed-e Shah
Masjed-e Shah is a grand Safavid-era mosque in Isfahan, Iran, renowned for its stunning blue-tiled dome, monumental portal, and masterful Persian-Islamic architecture.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb438ff4e08190a9af0f3e6401c9b2 |
completed | March 31, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbebd0d0481908eb6989d1822421a |
completed | April 1, 2026, 6:44 a.m. |
Created at: March 30, 2026, 5:34 p.m.