Triple
T23665372
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C 0844+120 |
E584562
|
entity |
| Predicate | bestSeenDuring |
P6960
|
FINISHED |
| Object | northern spring |
—
|
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: northern spring | Statement: [C 0844+120, bestSeenDuring, northern spring]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeenDuring Context triple: [C 0844+120, bestSeenDuring, northern spring]
-
A.
bestSeenIn
chosen
Indicates that something is most effectively or appropriately experienced, observed, or appreciated within a particular context, medium, or setting.
-
B.
seenOn
Indicates that one entity has been visually observed or noticed on, within, or in association with another entity.
-
C.
viewedDuring
Indicates that one entity is being watched, observed, or visually experienced by another within a specified time period or event.
-
D.
bestKnownSeason
Indicates the season for which an entity is most prominently or widely recognized.
-
E.
seenAfter
Indicates that one entity is observed or perceived at a later time than another entity.
- 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_69e24901421881908c17a5293bdd4a8e |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b40ad45c8190a3a0ae7c7f9bf3a5 |
completed | April 29, 2026, 7:32 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:50 p.m.