Triple
T11538076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karimganj |
E273599
|
entity |
| Predicate | remainedIn |
P99579
|
FINISHED |
| Object | India after Partition of India |
—
|
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: India after Partition of India | Statement: [Karimganj, remainedIn, India after Partition of India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: remainedIn Context triple: [Karimganj, remainedIn, India after Partition of India]
-
A.
remainsLitDuring
Indicates that one entity continues to emit light or stay illuminated throughout the duration of another specified event or condition.
-
B.
hasRemainsOf
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
C.
visibleRemains
Indicates that some physical remnants of an entity or event can still be seen or visually detected.
-
D.
retained
Indicates that one entity keeps possession, control, or continued engagement of another entity over a period of time.
-
E.
keptIn
Indicates that one entity is stored, contained, or maintained inside another entity as its location or container.
- 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_69d6aae3fbec8190a14632a5df2538b6 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8839cdf688190ae75c0e6fece8e33 |
completed | April 10, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d80879fdb48190be6dacc8aa63c809 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d8279925e4819089210611c0d8e61a |
completed | April 9, 2026, 10:26 p.m. |
Created at: April 8, 2026, 9:37 p.m.