Triple
T20406572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tajrish |
E500481
|
entity |
| Predicate | hasRoadConnection |
P385
|
FINISHED |
| Object | Valiasr Street |
—
|
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: Valiasr Street | Statement: [Tajrish, hasRoadConnection, Valiasr Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valiasr Street Context triple: [Tajrish, hasRoadConnection, Valiasr Street]
-
A.
Valiasr Street
chosen
Valiasr Street is one of Tehran’s main and longest north–south thoroughfares, known as a major commercial and cultural artery of the city.
-
B.
Ghuznee Street
Ghuznee Street is a central Wellington, New Zealand thoroughfare known for connecting key inner-city areas and lying close to the popular Cuba Street precinct.
-
C.
Hafez Street
Hafez Street is a major north–south thoroughfare in central Tehran, Iran, known for linking key commercial and cultural areas of the city.
-
D.
Kargar Street
Kargar Street is a major thoroughfare in Tehran, Iran, known for running through central parts of the city and connecting important academic and commercial areas.
-
E.
Javad Khan Street
Javad Khan Street is a central thoroughfare and popular pedestrian area in Ganja, Azerbaijan, known for its shops, cafes, and historical atmosphere.
- 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.