Triple
T156739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pleiades |
E3196
|
entity |
| Predicate | brightestStarApparentMagnitude |
P6957
|
FINISHED |
| Object | about 2.9 |
—
|
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: about 2.9 | Statement: [Pleiades, brightestStarApparentMagnitude, about 2.9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brightestStarApparentMagnitude Context triple: [Pleiades, brightestStarApparentMagnitude, about 2.9]
-
A.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
hasMaximumSolarInsolation
Indicates that an entity receives the highest level of solar radiation or sunlight intensity compared to relevant alternatives or within a given context.
-
C.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
D.
skyQuality
Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
-
E.
hasMeanDistanceFromSun
Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258808ff08190a06b6206f635612b |
completed | Feb. 28, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69a2565ded588190a27319aaa0130b4f |
completed | Feb. 28, 2026, 2:43 a.m. |
| PDg | Predicate description generation | batch_69a2587f1fe48190b1235aa63448fec5 |
completed | Feb. 28, 2026, 2:52 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.