Triple
T15307873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Hayat Bakshi Begum |
E365948
|
entity |
| Predicate | complexContains |
P79729
|
FINISHED |
| Object | grave of Hayat Bakshi Begum |
—
|
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: grave of Hayat Bakshi Begum | Statement: [Tomb of Hayat Bakshi Begum, complexContains, grave of Hayat Bakshi Begum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: complexContains Context triple: [Tomb of Hayat Bakshi Begum, complexContains, grave of Hayat Bakshi Begum]
-
A.
alsoContains
chosen
Indicates that something includes, in addition to its primary contents, another specified element or component.
-
B.
hasComplex
Indicates that one entity possesses, is associated with, or is part of a larger composite structure or complex formed with another entity.
-
C.
isTotallyComplex
Indicates that something possesses a level of complexity that is complete, multifaceted, and not reducible to simpler or purely real/straightforward components.
-
D.
typicallyContain
Indicates that one entity is normally or commonly found within, included in, or held by another entity under usual circumstances.
-
E.
hasComplexPoints
Indicates that something possesses or includes points that are intricate, detailed, or composed of multiple interconnected parts.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd001b48190bbdd69337efdb907 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:16 a.m.