Triple
T2233491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capricornus |
E49224
|
entity |
| Predicate | bestVisibleMonthNorthernHemisphere |
P36410
|
FINISHED |
| Object | September |
—
|
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: September | Statement: [Capricornus, bestVisibleMonthNorthernHemisphere, September]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestVisibleMonthNorthernHemisphere Context triple: [Capricornus, bestVisibleMonthNorthernHemisphere, September]
-
A.
monthObserved
Indicates the month during which an event, observation, or measurement took place.
-
B.
occursInSeasonInNorthernHemisphere
Indicates that an event or phenomenon takes place during a specified season as defined for the Northern Hemisphere.
-
C.
seasonOfPolarNight
Indicates the season during which a location experiences continuous or near-continuous polar night (absence of direct sunlight for an extended period).
-
D.
coldestSeason
Indicates the season during which a place or region experiences its lowest typical temperatures compared to other seasons.
-
E.
monthNumber
Indicates the numerical position of a month within a calendar year (e.g., January = 1, February = 2, etc.).
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0913f1c8190ac9cfeb0f1c84a76 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdadbb0c8190b3a1ede31b8acbfa |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbe4252688190944491a450383450 |
completed | March 7, 2026, 5:57 a.m. |
Created at: March 4, 2026, 7:47 p.m.