Triple
T18458282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 55636 2002 TX300 |
E450960
|
entity |
| Predicate | isBrightForItsSize |
P131721
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [55636 2002 TX300, isBrightForItsSize, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBrightForItsSize Context triple: [55636 2002 TX300, isBrightForItsSize, true]
-
A.
isBright
Indicates that an entity emits or reflects a high level of light, making it visually intense or luminous.
-
B.
isBrightStar
Indicates that the subject star has a high intrinsic luminosity or apparent brightness compared to typical stars.
-
C.
intrinsicBrightness
Indicates the inherent level of light or luminosity an entity possesses, independent of external factors or observation conditions.
-
D.
isBrighterThan
Indicates that one entity emits or reflects more light, or appears more luminous, than another entity.
-
E.
hasBrightSpots
Indicates that an entity possesses one or more areas or points that are noticeably brighter than their surroundings.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a7c18d88190ac17f58111722223 |
completed | April 19, 2026, 7:18 p.m. |
| PD | Predicate disambiguation | batch_69e469d05cf4819099baf1665a9cf18a |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2aa72c8190a40854a7a52081e2 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:31 a.m.