Triple
T5681169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sikkim |
E125201
|
entity |
| Predicate | joinedIndia |
P29931
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [Sikkim, joinedIndia, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: joinedIndia Context triple: [Sikkim, joinedIndia, 1975]
-
A.
joinedIndependentState
Indicates that an entity became a member of an independent state, typically by formally joining or being incorporated into that sovereign political unit.
-
B.
joinedState
chosen
Indicates that an entity became a member of, or was incorporated into, a particular state or political union.
-
C.
joinedFrance
Indicates that an entity became a member of or was incorporated into France.
-
D.
joinedAsProvince
Indicates that an entity became part of a larger political or administrative unit with the status of a province.
-
E.
joinedUNTogetherWith
Indicates that one entity became a member of or affiliated with the University of North Texas together with another entity, at the same time or as part of the same event.
- 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_69c0082a884c8190a79001bae658941f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248751bc8190b12aaa42d1ef17e3 |
completed | March 22, 2026, 5:19 p.m. |
| PD | Predicate disambiguation | batch_69c021be59088190a81c880957f666ab |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.