Triple
T19625370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rewari district |
E471119
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nuh district |
—
|
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: Nuh district | Statement: [Rewari district, borderedBy, Nuh district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuh district Context triple: [Rewari district, borderedBy, Nuh district]
-
A.
Nuh district
chosen
Nuh district is an administrative district in the Indian state of Haryana, known for its predominantly rural character and proximity to the National Capital Region.
-
B.
Khadir District
Khadir District is an administrative district located within Daykundi Province in central Afghanistan.
-
C.
Miyan Nasheen District
Miyan Nasheen District is an administrative district located in the northern part of Kandahar Province in southern Afghanistan.
-
D.
Qalandar District
Qalandar District is an administrative district located within Khost Province in southeastern Afghanistan.
-
E.
Sheema District
Sheema District is an administrative district in southwestern Uganda known for its predominantly rural communities and agricultural-based economy.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640e92ff48190ae6e6ba2c603d5e7 |
completed | April 20, 2026, 3:06 p.m. |
Created at: April 10, 2026, 1:44 p.m.