Triple
T23906614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LGS 3 |
E601214
|
entity |
| Predicate | hasDistanceModulus |
P154041
|
FINISHED |
| Object | about 24.5 mag |
—
|
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 24.5 mag | Statement: [LGS 3, hasDistanceModulus, about 24.5 mag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDistanceModulus Context triple: [LGS 3, hasDistanceModulus, about 24.5 mag]
-
A.
hasApproximateDistanceFromEarth
Indicates that there is an estimated or non-exact distance between an entity and Earth.
-
B.
distanceInMegaparsecs
Indicates the physical separation between two entities measured in units of megaparsecs.
-
C.
hasCombinedApparentMagnitude
Indicates that a group of astronomical objects, when considered together, have a specific total apparent brightness as seen by an observer.
-
D.
distanceFromStar
Indicates the measured or specified spatial separation between an object and a particular star.
-
E.
distanceInLightYears
Indicates the spatial separation between two entities measured in units of light-years.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce91144c8190b894e25a45dfd7c9 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:35 p.m.