Triple
T11538079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karimganj |
E273599
|
entity |
| Predicate | timeOfRetention |
P93788
|
FINISHED |
| Object | post-1947 |
—
|
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: post-1947 | Statement: [Karimganj, timeOfRetention, post-1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfRetention Context triple: [Karimganj, timeOfRetention, post-1947]
-
A.
dataRetentionPeriod
chosen
Indicates the length of time data is stored or kept before it is deleted, archived, or otherwise disposed of.
-
B.
retentionMethod
Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
-
C.
existencePeriod
Indicates the time span during which an entity exists or is valid.
-
D.
removalPeriod
Indicates the time span during which something is taken away, deleted, or otherwise removed from availability or consideration.
-
E.
preservesAsTimeOf
Indicates that one entity maintains or records another entity specifically as a temporal reference or time-related designation.
- 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_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. |
Created at: April 8, 2026, 9:37 p.m.