Triple
T26016427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Women's Day |
E647033
|
entity |
| Predicate | typicalUNActivities |
P1164
|
FINISHED |
| Object | high-level debates |
—
|
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: high-level debates | Statement: [International Women's Day, typicalUNActivities, high-level debates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUNActivities Context triple: [International Women's Day, typicalUNActivities, high-level debates]
-
A.
civicActivity
Indicates participation in or performance of activities related to civic engagement, public service, or community involvement.
-
B.
cultActivity
Indicates involvement in, organization of, or association with the practices, rituals, or operations of a cult.
-
C.
typicalActivity
chosen
Indicates that an entity is commonly or characteristically engaged in a particular activity.
-
D.
coordinatesActivitiesOf
Indicates that one entity organizes, aligns, or manages the activities of another entity or group of entities so they work together effectively.
-
E.
modernActivities
Indicates that the associated activities are contemporary or characteristic of the modern era, as opposed to traditional or historical practices.
- 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_69e77e8aa65881909ca58918f29ab2a0 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fe08d2b2e48190ac7be6d62d4a44a3 |
completed | May 8, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69fe06cd3af08190ae25de0dc0cdd573 |
completed | May 8, 2026, 3:52 p.m. |
Created at: April 22, 2026, 9:03 a.m.