Triple
T11677398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chhatrapati of the Maratha Empire |
E277527
|
entity |
| Predicate | firstAssumedYear |
P100741
|
FINISHED |
| Object | 1674 |
—
|
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: 1674 | Statement: [Chhatrapati of the Maratha Empire, firstAssumedYear, 1674]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstAssumedYear Context triple: [Chhatrapati of the Maratha Empire, firstAssumedYear, 1674]
-
A.
firstCreationYear
Indicates the year in which something was first created or originally produced.
-
B.
firstReportedYear
Indicates the year in which something was initially reported, documented, or made known for the first time.
-
C.
firstPermanentBaseYear
Indicates the year in which an entity’s first permanent base or facility was initially established.
-
D.
firstVersionYear
Indicates the calendar year in which the first version or initial release of something was created, published, or made available.
-
E.
firstCaptureYear
Indicates the year in which an entity was first captured or recorded as captured.
- F. None of above. chosen
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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| PD | Predicate disambiguation | batch_69d88a77e6e88190b7519100bde76575 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d8938a1f8c81908ffb049fa5fee5a7 |
completed | April 10, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:40 p.m.