Triple
T5996075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Armed Forces in World War I |
E133472
|
entity |
| Predicate | startOfParticipation |
P288
|
FINISHED |
| Object | 1917 |
—
|
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: 1917 | Statement: [United States Armed Forces in World War I, startOfParticipation, 1917]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startOfParticipation Context triple: [United States Armed Forces in World War I, startOfParticipation, 1917]
-
A.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
B.
startDate
chosen
Indicates the point in time when an event, state, or relationship begins.
-
C.
partnerStartDate
Indicates the date on which the partnership or partner relationship between the entities begins.
-
D.
startTimeAsRepresentative
Indicates the time at which an entity begins serving or acting in a representative capacity.
-
E.
firstTimeParticipation
Indicates that an entity is taking part in a specified event, activity, or context for the very first time.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e963f3c819082dd755e328ab947 |
completed | March 22, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.