Triple
T2460469
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Union territories of India |
E54520
|
entity |
| Predicate | differenceFromStates |
P40646
|
FINISHED |
| Object | do not have full statehood powers |
—
|
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: do not have full statehood powers | Statement: [Union territories of India, differenceFromStates, do not have full statehood powers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: differenceFromStates Context triple: [Union territories of India, differenceFromStates, do not have full statehood powers]
-
A.
deltaState
Indicates a change or transition in the state or condition of an entity between two points in time.
-
B.
pointDifference
Indicates the numerical difference in points or scores between two compared entities.
-
C.
hasDelta
Indicates that there is a change, difference, or deviation between two related states, values, or versions of something.
-
D.
differenceFromUDP
Indicates a relationship where something is characterized or measured in terms of how it differs from UDP (User Datagram Protocol) in behavior, properties, or implementation.
-
E.
differenceFromTCP
Indicates a relationship where one protocol, configuration, or behavior is characterized specifically by how it differs from TCP.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd49c5aa081909ab4f726a458b77f |
completed | March 7, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69abd0b199488190aa381b36593ae1ac |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd49b5d2481908817aeb171e2bd61 |
completed | March 7, 2026, 7:32 a.m. |
Created at: March 6, 2026, 9:44 p.m.