Triple
T22999188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonids |
E572587
|
entity |
| Predicate | observationBestTime |
P150574
|
FINISHED |
| Object | after local midnight |
—
|
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: after local midnight | Statement: [Leonids, observationBestTime, after local midnight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: observationBestTime Context triple: [Leonids, observationBestTime, after local midnight]
-
A.
bestObservedWith
Indicates that one entity is most effectively or appropriately observed, detected, or measured when used or considered together with another specified entity.
-
B.
latestTime
Indicates the most recent point in time at which the related event, state, or condition occurs or is valid among a set of possible times.
-
C.
isObservedBestFrom
Indicates that something is most favorably or clearly seen, perceived, or measured from a particular viewpoint, location, or context compared to other alternatives.
-
D.
observedAt
Indicates that an entity was recorded or noticed at a specific time or place.
-
E.
bestObservedFrom
Indicates that something is most suitably or effectively viewed, measured, or experienced from a particular vantage point or location.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f6484c8190bfe3f7ea894c43d8 |
completed | April 29, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69ef3b974e7c8190b8be11dbb4518693 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538b29c081908fa56ee35a1dcee7 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:50 p.m.