Triple
T28919030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central District of Islamshahr County |
E733453
|
entity |
| Predicate | locatedInCountryCapitalProvince |
P174027
|
FINISHED |
| Object | Tehran Province |
—
|
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: Tehran Province | Statement: [Central District of Islamshahr County, locatedInCountryCapitalProvince, Tehran Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInCountryCapitalProvince Context triple: [Central District of Islamshahr County, locatedInCountryCapitalProvince, Tehran Province]
-
A.
locatedInCountryCapitalOfProvince
Indicates that an entity is located in the country that contains the capital city of a specified province.
-
B.
locatedInCountryCapitalSystem
Indicates that an entity is situated in the capital city of a specified country within a country–capital relationship system.
-
C.
locatedInCapital
Indicates that an entity is situated within the capital city of a specified region, country, or administrative area.
-
D.
isInProvinceWithCapital
chosen
Indicates that a place is located within a province whose administrative capital is a specified city.
-
E.
locatedInCapitalCityPort
Indicates that something is situated within the port area of a country's capital city.
- F. None of above.
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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: April 28, 2026, 8:18 a.m.