Triple
T8212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Nations Headquarters |
E162
|
entity |
| Predicate | hostsEvent |
P613
|
FINISHED |
| Object | annual United Nations General Assembly high-level week |
—
|
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: annual United Nations General Assembly high-level week | Statement: [United Nations Headquarters, hostsEvent, annual United Nations General Assembly high-level week]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hostsEvent Context triple: [United Nations Headquarters, hostsEvent, annual United Nations General Assembly high-level week]
-
A.
sportsEventHosted
Indicates that a particular sports event was organized, arranged, or held by a specified host entity (such as a venue, organization, or city).
-
B.
venue
Indicates the place or location where an event, activity, or interaction takes place.
-
C.
hubFor
Indicates that one entity serves as a central node or focal point through which activities, connections, or resources related to another entity are organized or routed.
-
D.
hostsInstitution
Indicates that one entity serves as the hosting location or organizing body for an institution.
-
E.
participatedInEvent
Indicates that an entity took part in or was actively involved in a specific event.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a2407916ac8190b76d2e6690efaef3 |
completed | Feb. 28, 2026, 1:10 a.m. |
| PD | Predicate disambiguation | batch_69a23fe3a87881909ab95bb3a0b474ec |
completed | Feb. 28, 2026, 1:07 a.m. |
| PDg | Predicate description generation | batch_69a240782e108190b6b60c26b84ae179 |
completed | Feb. 28, 2026, 1:10 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.