Triple
T4826306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris |
E107832
|
entity |
| Predicate | infancyEvent |
P59884
|
FINISHED |
| Object | Exposed on Mount Ida after birth |
—
|
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: Exposed on Mount Ida after birth | Statement: [Paris, infancyEvent, Exposed on Mount Ida after birth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infancyEvent Context triple: [Paris, infancyEvent, Exposed on Mount Ida after birth]
-
A.
birthEvent
Indicates an event in which an entity comes into existence by being born, typically linking the newborn to contextual details such as time, place, and participants.
-
B.
youngestEvent
Indicates that the referenced event is the most recent or last-occurring event among a set of events.
-
C.
biologicalEvent
Indicates a relationship where an entity participates in, causes, or is affected by a process or occurrence in a biological system.
-
D.
adoptionEvent
Indicates an event in which one party legally or formally assumes parental or custodial responsibility for another.
-
E.
familyEvent
Indicates a relationship where an event is organized around or significantly involves members of a family, such as gatherings, celebrations, or milestones.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1fe130819087ae01309f96a0c8 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:24 p.m.