Triple
T7402889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mon Paris |
E170790
|
entity |
| Predicate | suitableSeason |
P61405
|
FINISHED |
| Object | fall |
—
|
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: fall | Statement: [Mon Paris, suitableSeason, fall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suitableSeason Context triple: [Mon Paris, suitableSeason, fall]
-
A.
basedOnSeason
Indicates that something is determined, influenced, or derived according to a particular season or time of year.
-
B.
affectedSeason
Indicates that one entity has an influence on, or causes a change in, a particular season.
-
C.
hasSeasonalCounterpart
Indicates that one entity corresponds to another entity that appears or is relevant in a different season as its counterpart.
-
D.
usedForSeasonRange
chosen
Indicates the span of seasons or time period during which something is intended or suitable to be used.
-
E.
isSummerOrWinter
Indicates that a given time, date, or season falls within either the summer or winter period, as opposed to other seasons.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26ea27c8190a55e0e0314b463d8 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f0323b2c819098ab72c33e6d8534 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:10 p.m.