Triple
T1437084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pohela Boishakh |
E30580
|
entity |
| Predicate | countryLevelStatus |
P6123
|
FINISHED |
| Object | national festival of Bangladesh |
—
|
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: national festival of Bangladesh | Statement: [Pohela Boishakh, countryLevelStatus, national festival of Bangladesh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryLevelStatus Context triple: [Pohela Boishakh, countryLevelStatus, national festival of Bangladesh]
-
A.
countryStatus
Indicates the political or legal condition of a country, such as its sovereignty, recognition, or current state in international or domestic contexts.
-
B.
regionStatus
Indicates the current condition, classification, or operational state assigned to a specific geographic or administrative region.
-
C.
countryScope
chosen
Indicates that something is limited to, applicable within, or defined at the level of a specific country.
-
D.
GIStatusCountry
Indicates the status or condition of a geographic indication (GI) within a specific country.
-
E.
countryLed
Indicates that one country serves as the leader, head, or primary directing authority over another country in a given context.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c478f65481909ee716791c663491 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.