Triple
T1406445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tau Ceti |
E31702
|
entity |
| Predicate | solarAnalogStatus |
P27656
|
FINISHED |
| Object | Sun-like star |
—
|
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: Sun-like star | Statement: [Tau Ceti, solarAnalogStatus, Sun-like star]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarAnalogStatus Context triple: [Tau Ceti, solarAnalogStatus, Sun-like star]
-
A.
SunLocation
Indicates the spatial position or placement of the sun relative to a reference point or environment.
-
B.
solarAlignment
Indicates that one entity is oriented, positioned, or timed in a specific way relative to the Sun’s location or movement.
-
C.
hasSolarDayLength
Indicates that an entity is associated with a specific duration for one complete solar day (the time between successive noons).
-
D.
solarAlignmentDates
Indicates the specific dates on which an object, structure, or location is aligned in a significant way with the position of the Sun (e.g., sunrise, sunset, solstices, or equinoxes).
-
E.
solarPosition
Indicates the spatial orientation or location of an entity relative to the Sun at a given time.
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3be10348190ade8a73780d2c008 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bf030a388190bc82d30b9233e873 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c11067b48190bca6ef3ac1475c20 |
completed | March 1, 2026, 10:43 p.m. |
Created at: March 1, 2026, 7:59 p.m.