Triple
T19182759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HD 25940 |
E469616
|
entity |
| Predicate | distanceLightYears |
P7285
|
FINISHED |
| Object | approximately 1100 |
—
|
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: approximately 1100 | Statement: [HD 25940, distanceLightYears, approximately 1100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceLightYears Context triple: [HD 25940, distanceLightYears, approximately 1100]
-
A.
distanceInMegaparsecs
Indicates the physical separation between two entities measured in units of megaparsecs.
-
B.
distanceFromEarth
chosen
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
C.
distanceFromMilkyWay_ly
Indicates the distance of an object from the Milky Way galaxy, measured in light-years.
-
D.
distanceFromMilkyWay
Indicates the measured or estimated spatial distance between an entity and the Milky Way galaxy.
-
E.
diameter_lightYears
Indicates the distance across an object or region measured in light-years, typically from one side through the center to the opposite side.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f61e1c248190ba9e220c1be61ef8 |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:07 p.m.