Triple
T20066669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Tehran |
E499624
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Shemiranat |
—
|
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: Shemiranat | Statement: [Greater Tehran, contains, Shemiranat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shemiranat Context triple: [Greater Tehran, contains, Shemiranat]
-
A.
Shemiran
chosen
Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
-
B.
Zangilan
Zangilan is a town in southwestern Azerbaijan that serves as an administrative and transport hub near the borders with Armenia and Iran.
-
C.
Kharameh
Kharameh is a city in southern Iran known for its agricultural surroundings and location within Fars Province.
-
D.
Shuafat
Shuafat is a Palestinian neighborhood and refugee camp in East Jerusalem known for its dense population, complex political status, and challenging living conditions.
-
E.
Shemshak
Shemshak is a mountain village and ski resort in the Alborz range of northern Iran, known for its steep slopes and popularity among advanced skiers.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66379f2cc81908f13a7b216878f12 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.