Triple
T25299124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metsavennad |
E634297
|
entity |
| Predicate | lastMajorActivitiesUntil |
P135182
|
FINISHED |
| Object | early 1950s |
—
|
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: early 1950s | Statement: [Metsavennad, lastMajorActivitiesUntil, early 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastMajorActivitiesUntil Context triple: [Metsavennad, lastMajorActivitiesUntil, early 1950s]
-
A.
lastMajorEvent
Indicates the most recent significant event associated with an entity in a given context.
-
B.
lastMissionEndDate
Indicates the date on which the most recent mission associated with the entity was completed or ended.
-
C.
lastEntryDate
Indicates the date on which the most recent entry, record, or update associated with the subject occurred.
-
D.
likelyLastActivity
chosen
Indicates that an activity is inferred to be the most recent or final action performed by an entity within a given context or timeframe.
-
E.
lastMajorRallyHeld
Indicates the most recent significant rally event that was held for or by a given 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48fd5621481909935d022d9275194 |
completed | May 1, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:22 p.m.