Triple
T19782359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garhshankar tehsil |
E475168
|
entity |
| Predicate | administrativeCentre |
P1474
|
FINISHED |
| Object | Garhshankar |
—
|
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: Garhshankar | Statement: [Garhshankar tehsil, administrativeCentre, Garhshankar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Garhshankar Context triple: [Garhshankar tehsil, administrativeCentre, Garhshankar]
-
A.
Garhshankar
chosen
Garhshankar is a town and municipal council in the Hoshiarpur district of the Indian state of Punjab.
-
B.
Gora Kumbhar
Gora Kumbhar was a 13th-century Marathi saint and potter revered in the Varkari tradition for his deep devotion to Vithoba and his teachings on humility and spiritual equality.
-
C.
Gorakhnath Peak
Gorakhnath Peak is the highest and most prominent summit of the Girnar mountain range in Gujarat, India, known as a major site of Hindu pilgrimage.
-
D.
Mala Gora
Mala Gora is a prominent peak that forms the highest elevation of the Trnovski Gozd Plateau in western Slovenia.
-
E.
Nilgiri Parbat
Nilgiri Parbat is a prominent high-altitude mountain peak in the Indian Himalayas, located within the Garhwal region of Uttarakhand.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653852e848190b8971981a164e8f9 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.