Triple
T11444612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alwar district |
E271231
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Nuh district |
E406607
|
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: Nuh district | Statement: [Alwar district, borderedBy, Nuh district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nuh district Context triple: [Alwar 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.
Baabda District
Baabda District is an administrative district in the Mount Lebanon Governorate of Lebanon that includes key suburbs of Beirut and has historically been a significant political and military area.
-
E.
Khuzdar District
Khuzdar District is an administrative district in central Balochistan, Pakistan, known for its rugged terrain and strategic location along key regional routes.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8088a66f48190b2b4a56cd62097cf |
completed | April 9, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3afe7fc8190acc8c803ff5efe5a |
completed | April 20, 2026, 7:20 a.m. |
Created at: April 8, 2026, 9:35 p.m.