Triple
T4695675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Day of United Nations Peacekeepers |
E104134
|
entity |
| Predicate | firstObservedOn |
P34154
|
FINISHED |
| Object | 29 May 2003 |
—
|
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: 29 May 2003 | Statement: [International Day of United Nations Peacekeepers, firstObservedOn, 29 May 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstObservedOn Context triple: [International Day of United Nations Peacekeepers, firstObservedOn, 29 May 2003]
-
A.
wasFirstObservedIn
chosen
Indicates that an entity was initially noticed, recorded, or detected at a particular time or place.
-
B.
firstUsedOn
Indicates the date, time, or context in which something was initially applied, activated, or put into use on a particular object or entity.
-
C.
firstReachedDate
Indicates the date on which a particular entity first achieved, accessed, or arrived at a specified state, location, or milestone.
-
D.
firstPerformedOn
Indicates the date or occasion on which an action, event, or performance was carried out for the first time on a particular subject or object.
-
E.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the 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_69bd43df91f481908e9add1b617b60ef |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.