Triple
T247010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Day (India) |
E5058
|
entity |
| Predicate | observanceLevel |
P4563
|
FINISHED |
| Object | nationwide in 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: nationwide in India | Statement: [Republic Day (India), observanceLevel, nationwide in India]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observanceLevel Context triple: [Republic Day (India), observanceLevel, nationwide in India]
-
A.
observesDay
chosen
Indicates that an entity recognizes, commemorates, or practices a particular day (such as a holiday, event, or observance) according to some calendar or tradition.
-
B.
obeysLaw
Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
-
C.
legalAuthorityLevel
Indicates the degree or rank of formal legal power or jurisdiction an entity holds in relation to another or within a given context.
-
D.
codificationLevel
Indicates the degree or extent to which something is formally systematized, standardized, or encoded into an explicit set of rules or structures.
-
E.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
- 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_69a257c4bf688190a46ebbf411ab7473 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d13b8088190a3f48f0388d57496 |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b63b0bc8190864d7324d339fb48 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:54 a.m.