Triple
T5489224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Arjan |
E123658
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Tarn Taran Sahib |
E456116
|
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: Tarn Taran Sahib | Statement: [Guru Arjan, founded, Tarn Taran Sahib]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarn Taran Sahib Context triple: [Guru Arjan, founded, Tarn Taran Sahib]
-
A.
Tarn Taran Sahib
chosen
Tarn Taran Sahib is a historic town in Punjab, India, renowned as an important Sikh religious center built around a prominent gurdwara and sacred sarovar.
-
B.
Anandpur Sahib
Anandpur Sahib is a historic Sikh city in Punjab, India, renowned as the birthplace of the Khalsa and a major center of Sikh faith and heritage.
-
C.
Hemkunt Sahib
Hemkunt Sahib is a revered Sikh gurudwara and high-altitude pilgrimage site in the Indian Himalayas, associated with Guru Gobind Singh.
-
D.
Darbar Sahib
Darbar Sahib is a central Sikh gurdwara complex in Amritsar, India, revered as one of the holiest sites in Sikhism and renowned for its stunning Golden Temple.
-
E.
Khadur Sahib
Khadur Sahib is a historic town in Punjab, India, revered as an important Sikh religious center closely associated with Guru Angad Dev Ji.
- 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_69bd464a2d908190869324ce176779c8 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48ac6e7881908806f88056409b41 |
completed | March 22, 2026, 1:41 a.m. |
Created at: March 20, 2026, 2:10 p.m.