Triple
T11999766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Amar Das |
E285626
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Punjab |
E2323
|
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: Punjab | Statement: [Guru Amar Das, region, Punjab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Punjab Context triple: [Guru Amar Das, region, Punjab]
-
A.
Punjab
chosen
Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
-
B.
Panjab
Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
-
C.
Gujrat
Gujrat is a city in Pakistan’s Punjab province known for its industrial activity, historical significance, and position along the Grand Trunk Road between Lahore and Islamabad.
-
D.
Haryana
Haryana is a northern Indian state known for its significant agricultural output, rapid industrial growth, and proximity to the national capital, New Delhi.
-
E.
Sindh
Sindh is a southeastern province of Pakistan known for its historical Indus Valley heritage, major cities like Karachi and Hyderabad, and a rich Sindhi cultural and linguistic tradition.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c26d7881909b67a31d04882eb5 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f472917ed08190a872d9e5663d5ed5 |
completed | May 1, 2026, 9:29 a.m. |
Created at: April 8, 2026, 9:46 p.m.