Triple
T37205858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau Herculids |
E922166
|
entity |
| Predicate | bestYearlyVisibility |
P187533
|
FINISHED |
| Object | when comet debris trails intersect Earth closely |
—
|
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: when comet debris trails intersect Earth closely | Statement: [Tau Herculids, bestYearlyVisibility, when comet debris trails intersect Earth closely]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestYearlyVisibility Context triple: [Tau Herculids, bestYearlyVisibility, when comet debris trails intersect Earth closely]
-
A.
visibleYearRoundFrom
Indicates that one entity can be seen throughout the entire year from the location or vantage point of another entity.
-
B.
visitYear
Indicates the specific year in which a visit or visitation event took place.
-
C.
accessibleYearRound
Indicates that the subject can be accessed or used during all seasons of the year without interruption.
-
D.
observesAllYear
Indicates that the observing entity continuously observes or monitors the target entity throughout the entire year without interruption.
-
E.
peakVisibility
Indicates the degree to which a peak (such as a mountain or summit) is visible from a given location or under certain conditions.
- 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_69f76ea4849481909b4a3073efb0114c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
| PDg | Predicate description generation | batch_69fb55dc36d08190a0634fa680e13114 |
completed | May 6, 2026, 2:53 p.m. |
Created at: May 3, 2026, 4:15 p.m.