Triple
T1236564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23 Tauri |
E26561
|
entity |
| Predicate | distanceFromEarth_pc |
P7285
|
FINISHED |
| Object | about 135 parsecs |
—
|
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 135 parsecs | Statement: [23 Tauri, distanceFromEarth_pc, about 135 parsecs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromEarth_pc Context triple: [23 Tauri, distanceFromEarth_pc, about 135 parsecs]
-
A.
distanceFromEarth
chosen
Indicates the measured or calculated spatial separation between an entity and the planet Earth.
-
B.
distanceFromMilkyWay
Indicates the measured or estimated spatial distance between an entity and the Milky Way galaxy.
-
C.
hasMeanDistanceFromSun
Indicates that an entity (typically a celestial body) is characterized by a specific average distance from the Sun.
-
D.
distanceFromMilkyWay_ly
Indicates the distance of an object from the Milky Way galaxy, measured in light-years.
-
E.
distanceFromGalacticCenter
Indicates the measured or calculated spatial separation between an entity and the center of its galaxy.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf17e0bc8190a066561e6b629fc0 |
completed | March 1, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69a4bb67d52c8190815d6356b79d6ed5 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.