Triple
T10540293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | East Azerbaijan Province |
E248676
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Sarab |
E229945
|
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: Sarab | Statement: [East Azerbaijan Province, containsCity, Sarab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarab Context triple: [East Azerbaijan Province, containsCity, Sarab]
-
A.
Sarab
chosen
Sarab is a city in northwestern Iran known for its location in East Azerbaijan Province and its surrounding volcanic mineral springs.
-
B.
Sadras
Sadras is a historic coastal town in Tamil Nadu, India, known for its Dutch-era fort and role as a former trading port on the Coromandel Coast.
-
C.
Sadulshahar
Sadulshahar is a town in the northern Indian state of Rajasthan, situated within the Ganganagar district near the border with Punjab.
-
D.
Brahmanabad
Brahmanabad was an important early medieval city in the Sindh region (in present-day Pakistan), known as a major political and administrative center that came under Muslim rule during the early Islamic expansions into the Indian subcontinent.
-
E.
Salehabad
Salehabad is a village-level settlement located within Baharestan County in Tehran Province, Iran.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50a582be48190856c6f272eea4dcf |
completed | April 7, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9341d96c08190a6ba644b9acfe2c8 |
completed | April 10, 2026, 5:32 p.m. |
Created at: April 6, 2026, 12:32 p.m.