Triple
T33495766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lent term |
E857858
|
entity |
| Predicate | isFollowedByVacation |
P176674
|
FINISHED |
| Object | Easter vacation |
—
|
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: Easter vacation | Statement: [Lent term, isFollowedByVacation, Easter vacation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFollowedByVacation Context triple: [Lent term, isFollowedByVacation, Easter vacation]
-
A.
hasUseDuringVacation
Indicates that something is intended to be used or is applicable specifically during a vacation period.
-
B.
hasVacationHomeLocation
Indicates that an entity owns or uses a vacation home that is located in a specified place.
-
C.
isFollowedByInCareer
Indicates that one person’s professional role, position, or career stage comes directly after another’s in sequence.
-
D.
hasCompanionDeparture
Indicates that an entity’s departure is associated with, or accompanied by, the departure of a companion entity.
-
E.
followsDepartureOf
Indicates that one event or action occurs after and in sequence with the departure of another entity or event.
- 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_69f3497660508190a541826a81f7e9ab |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e56b46388190be89c1b62ad15675 |
completed | May 3, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3db74c081909a991309d835d477 |
completed | May 3, 2026, 5:57 a.m. |
| PDg | Predicate description generation | batch_69f6e4a260808190b4aca0b988f3e593 |
completed | May 3, 2026, 6:01 a.m. |
Created at: May 1, 2026, 1:38 a.m.