Triple
T19625382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rewari district |
E471119
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | HR |
—
|
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: HR | Statement: [Rewari district, vehicleRegistrationCode, HR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HR Context triple: [Rewari district, vehicleRegistrationCode, HR]
-
A.
HR
chosen
HR is the official vehicle registration code used on license plates for motor vehicles registered in the Indian state of Haryana.
-
B.
HR
HR is the two-letter ISO 3166 country code representing the Republic of Croatia.
-
C.
HRM
HRM is the acronym commonly used for the Croatian Navy, the maritime branch of Croatia’s armed forces.
-
D.
HRM
HRM is a common abbreviation for the Halifax Regional Municipality, the local government area encompassing the city of Halifax and surrounding communities in Nova Scotia, Canada.
-
E.
HSRM
HSRM is the abbreviation for Hochschule RheinMain, a university of applied sciences based in the Rhine-Main region of Germany offering a range of practice-oriented academic programs.
- 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.