Triple
T20406533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajrish |
E500481
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shemiran |
—
|
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: Shemiran | Statement: [Tajrish, locatedIn, Shemiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shemiran Context triple: [Tajrish, locatedIn, Shemiran]
-
A.
Shemiran
chosen
Shemiran is a historically affluent northern district of Tehran, Iran, known for its cooler climate, gardens, and former royal residences.
-
B.
Shalim
Shalim is a deity from ancient Canaanite religion, commonly associated with dusk or the setting sun.
-
C.
Shamerim
Shamerim is the name the Samaritan community uses for themselves, reflecting their identity as the true preservers or guardians of the ancient Israelite tradition.
-
D.
Shemeran
Shemeran is the historical name for Shemiran, a northern district of Tehran known for its cooler climate, affluent neighborhoods, and proximity to the Alborz Mountains.
-
E.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
- 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_69e0b4a81bec8190b69adfdc1336a015 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67992cfb88190ae49a1723e6667a1 |
completed | April 20, 2026, 7:08 p.m. |
Created at: April 16, 2026, 11:29 a.m.