Triple
T5938350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Ram Das |
E132101
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Goindwal, Punjab |
E522490
|
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: Goindwal, Punjab | Statement: [Guru Ram Das, placeOfDeath, Goindwal, Punjab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goindwal, Punjab Context triple: [Guru Ram Das, placeOfDeath, Goindwal, Punjab]
-
A.
Goindwal, Punjab
chosen
Goindwal, Punjab is a historic Sikh town in northern India closely associated with the early Sikh Gurus and significant events in Sikh religious history.
-
B.
Barnala
Barnala is a city in the Malwa region of Punjab, India, known as an administrative and commercial center for the surrounding agricultural area.
-
C.
Nawanshahr
Nawanshahr is a town and district headquarters in the Doaba region of Punjab, India, known for its agricultural base and significant Punjabi diaspora.
-
D.
Gurdaspur
Gurdaspur is a city in the northern Indian state of Punjab, known for its agricultural surroundings and proximity to the India–Pakistan border.
-
E.
Nadiad
Nadiad is a city in the Indian state of Gujarat, historically notable as the birthplace of independence leader Sardar Vallabhbhai Patel.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c038edd1b88190a608f9bf8a8090cf |
completed | March 22, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c0748c888190b41326eddc76db62 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4:01 p.m.