Triple
T3848596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mangal Pandey: The Rising |
E85233
|
entity |
| Predicate | timeSettingStart |
P48368
|
FINISHED |
| Object | 1850s |
—
|
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: 1850s | Statement: [Mangal Pandey: The Rising, timeSettingStart, 1850s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSettingStart Context triple: [Mangal Pandey: The Rising, timeSettingStart, 1850s]
-
A.
timeOfSetting
Indicates the specific time at which an event, object, or phenomenon is set, scheduled, or takes place.
-
B.
timeStartApprox
chosen
Indicates that the associated event or state begins at an approximate, rather than exact, point in time.
-
C.
startTimeAsCaesar
Indicates the time at which an event or action begins, expressed in the Caesar (Julian) calendar time standard.
-
D.
timeAsCapitalStart
Indicates the point in time when a location first became the capital of a political or administrative entity.
-
E.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcc8a0481909c35161336bdfbf9 |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:19 p.m.