Triple
T35305944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurdwara Chhevin Patshahi |
E1019635
|
entity |
| Predicate | associatedGuruNumber |
P129803
|
FINISHED |
| Object | Sixth Sikh Guru |
E1633089
|
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: Sixth Sikh Guru | Statement: [Gurdwara Chhevin Patshahi, associatedGuruNumber, Sixth Sikh Guru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedGuruNumber Context triple: [Gurdwara Chhevin Patshahi, associatedGuruNumber, Sixth Sikh Guru]
-
A.
associatedNumber
Indicates a relationship where a specific number is linked or assigned to an entity as its associated value.
-
B.
linkedToGuru
chosen
Indicates a relationship where an entity is connected or associated with a guru, typically implying guidance, mentorship, or spiritual affiliation.
-
C.
associatedGens
Indicates a relationship where one entity is linked or connected to one or more genes in some relevant biological or functional context.
-
D.
associatedWithGeneral
Indicates a non-specific or broad relationship or connection exists between entities without detailing its precise nature.
-
E.
agentNumber
Indicates that a specific agent is associated with or responsible for a particular numerical identifier or count.
- F. None of above.
Provenance (4 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_69f76de8b4c48190ae504b86185c474c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c8c34f88190ace26f555827f23e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3819edb7488190b6039f8a34756ad9 |
completed | June 21, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_6a037a0324d08190ac5b610cc0f6a38c |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:03 p.m.