Triple
T15634522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhagmati |
E375902
|
entity |
| Predicate | timeFrameInTradition |
P114778
|
FINISHED |
| Object | reign of Muhammad Quli Qutb Shah |
—
|
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: reign of Muhammad Quli Qutb Shah | Statement: [Bhagmati, timeFrameInTradition, reign of Muhammad Quli Qutb Shah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeFrameInTradition Context triple: [Bhagmati, timeFrameInTradition, reign of Muhammad Quli Qutb Shah]
-
A.
timeFrameTraditionallyLinked
chosen
Indicates that one time frame is customarily or historically associated with another, reflecting a traditional linkage between them.
-
B.
traditionDuration
Indicates the length of time for which a particular tradition has been practiced or observed.
-
C.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
D.
traditionSince
Indicates that a tradition has been continuously practiced or recognized starting from a specified point in time.
-
E.
timeframeRelative
Indicates a temporal relationship where one event, state, or condition is positioned in time relative to another (e.g., before, after, or overlapping).
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb8b4c48190b80fea6877483089 |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.