Triple
T13901494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lehna |
E334231
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Ten Sikh Gurus |
E333836
|
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: Ten Sikh Gurus | Statement: [Lehna, partOf, Ten Sikh Gurus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ten Sikh Gurus Context triple: [Lehna, partOf, Ten Sikh Gurus]
-
A.
Sikh Gurus
chosen
The Sikh Gurus were the ten foundational spiritual leaders of Sikhism who established its core teachings, scriptures, and institutions from the 15th to 18th centuries.
-
B.
Sri Guru
Sri Guru is a revered honorific title used for Guru Gobind Singh, the tenth Sikh Guru and a central figure in Sikh history and theology.
-
C.
Guru Nanak
Guru Nanak was a 15th–16th century Indian spiritual teacher whose teachings on devotion to one God, equality, and social justice laid the foundations of Sikh religious and ethical thought.
-
D.
Guru Har Sahai
Guru Har Sahai is a town and municipal council in the Ferozepur district of Punjab, India, known for its agricultural trade and local markets.
-
E.
Guru Har Krishan
Guru Har Krishan was the eighth Sikh Guru, revered for his compassion and service to the sick despite his young age.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.