Triple
T26199467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Register of Citizens in Assam |
E655191
|
entity |
| Predicate | timePeriodOfUpdate |
P302
|
FINISHED |
| Object | 2015–2019 |
—
|
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: 2015–2019 | Statement: [National Register of Citizens in Assam, timePeriodOfUpdate, 2015–2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timePeriodOfUpdate Context triple: [National Register of Citizens in Assam, timePeriodOfUpdate, 2015–2019]
-
A.
typicalUpdateFrequency
Indicates how often an entity is usually updated or refreshed over time.
-
B.
timePeriod
chosen
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
rotationPeriod_hours
Indicates the length of time, measured in hours, that an object takes to complete one full rotation on its axis.
-
D.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
-
E.
rankingUpdateFrequency
Indicates how often the ranking or ordered list associated with an entity is recalculated or refreshed.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f650c70d7c819093d9a0f005f7c8d5 |
completed | May 2, 2026, 7:30 p.m. |
| PD | Predicate disambiguation | batch_69f64cab1f648190a2a9460690d18a37 |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 26, 2026, 8:47 p.m.