Triple
T5240862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagittarius Star Cloud |
E118335
|
entity |
| Predicate | bestSeenInMonths |
P6960
|
FINISHED |
| Object | June |
—
|
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: June | Statement: [Sagittarius Star Cloud, bestSeenInMonths, June]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestSeenInMonths Context triple: [Sagittarius Star Cloud, bestSeenInMonths, June]
-
A.
bestSeenIn
chosen
Indicates that something is most effectively or appropriately experienced, observed, or appreciated within a particular context, medium, or setting.
-
B.
observedSince
Indicates that one entity has been continuously or repeatedly observed starting from a specified point in time.
-
C.
usualMonthHeld
Indicates the month in which an event or activity is typically or customarily held.
-
D.
occasionallyPlayedInMonth
Indicates that an entity is played or used intermittently or on some, but not all, occasions within a given month.
-
E.
numberOfSees
Indicates the count of times a seeing or viewing event occurs between entities.
- 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_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2c50508190b84bab216c30cbfe |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.