Triple
T15705986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Women of World War II memorial |
E380709
|
entity |
| Predicate | unveilingAttendedBy |
P52647
|
FINISHED |
| Object | veterans of World War II |
—
|
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: veterans of World War II | Statement: [Women of World War II memorial, unveilingAttendedBy, veterans of World War II]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unveilingAttendedBy Context triple: [Women of World War II memorial, unveilingAttendedBy, veterans of World War II]
-
A.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
-
B.
unveiledInPresenceOf
chosen
Indicates that something was formally revealed or made public while specific other entities were present.
-
C.
attendanceAnnounced
Indicates that an official statement has been made about whether and/or how many people will attend an event.
-
D.
eventParticipant
Indicates that an entity takes part in, is involved in, or participates in a particular event.
-
E.
lightingAttendedBy
Indicates that a lighting-related event, activity, or installation is attended or participated in by a specified entity.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b4d6b5788190883746ee82c799f5 |
completed | April 16, 2026, 10:07 a.m. |
| PD | Predicate disambiguation | batch_69e0051d639481909a10614e8f83e659 |
completed | April 15, 2026, 9:37 p.m. |
Created at: April 10, 2026, 4:45 a.m.