Triple
T9658251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museum of Royal Vehicles |
E233516
|
entity |
| Predicate | locatedInDistrict |
P40
|
FINISHED |
| Object | Shemiran |
E233511
|
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: Shemiran | Statement: [Museum of Royal Vehicles, locatedInDistrict, Shemiran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shemiran Context triple: [Museum of Royal Vehicles, locatedInDistrict, 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.
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.
-
E.
Simele
Simele is a town in the Dohuk Governorate of Iraqi Kurdistan, historically known as the site of the 1933 massacre of Assyrian Christians.
- 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_69ca848c1ba88190b84b410cd14627fc |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9bdeb04081909ee582084e502ff6 |
completed | April 1, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d18a0b84a0819083191beeaf8d968b |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 8:14 p.m.