Triple
T2526224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guru Granth Sahib |
E56040
|
entity |
| Predicate | initialCompilationYear |
P9428
|
FINISHED |
| Object | 1604 |
—
|
LITERAL 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: 1604 | Statement: [Guru Granth Sahib, initialCompilationYear, 1604]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initialCompilationYear Context triple: [Guru Granth Sahib, initialCompilationYear, 1604]
-
A.
productionStartYear
Indicates the year in which the production of an item, work, or entity first began.
-
B.
firstRunningYear
Indicates the year in which something (such as an event, service, or operation) first began running or was initially active.
-
C.
originYear
chosen
Indicates the year in which something first originated, was created, or began.
-
D.
compositionYear
Indicates the year in which a work (such as a piece of music, art, or literature) was originally created or composed.
-
E.
firstSeriesYear
Indicates the year in which a series (such as a TV show, book series, or sports league season) first began or was initially released.
- F. None of above.
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_69ab4a48e4f081908f1218d244608659 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd255f0d081908d20cfb812c4bfc1 |
completed | March 7, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69abd0c2e34c8190a914d5c2afba147c |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.