Triple
T21545834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malwa region of Madhya Pradesh |
E531620
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Agar |
—
|
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: Agar | Statement: [Malwa region of Madhya Pradesh, hasMajorCity, Agar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agar Context triple: [Malwa region of Madhya Pradesh, hasMajorCity, Agar]
-
A.
Agar
Agar is a common English surname of possible Norman origin, borne by various individuals including those in contemporary English-speaking countries.
-
B.
Agar
chosen
Agar is a town in the Indian state of Madhya Pradesh, known as the administrative center of Agar Malwa district.
-
C.
Harinas
Harinas is a rural settlement located within Syangja District in the Gandaki Province of central Nepal.
-
D.
Gaggal
Gaggal is a town in Himachal Pradesh, India, known primarily for serving as the location of Kangra Airport, a key air gateway to the Kangra Valley and nearby Dharamshala.
-
E.
Aga
Aga is a city in Egypt’s Dakahlia Governorate, known as one of the region’s principal urban centers in the Nile Delta.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58ef2548190a81ff51baba76e48 |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.