Triple
T21027199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tully-Fisher relation distances |
E517969
|
entity |
| Predicate | usesObservable |
P20811
|
FINISHED |
| Object | galaxy rotational line width |
—
|
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: galaxy rotational line width | Statement: [Tully-Fisher relation distances, usesObservable, galaxy rotational line width]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesObservable Context triple: [Tully-Fisher relation distances, usesObservable, galaxy rotational line width]
-
A.
isObservedUsing
Indicates that an entity is observed or monitored by means of a specified instrument, method, or medium.
-
B.
observedWith
Indicates that two or more entities are seen, detected, or recorded together in the same context, event, or observation.
-
C.
observableWith
chosen
Indicates that one entity can be detected, measured, or perceived through the use of another specified entity or method.
-
D.
observesIn
Indicates that one entity observes, monitors, or takes note of another entity within a specific context, environment, or scope.
-
E.
observedFor
Indicates that one entity is monitored, watched, or examined over a period of time for the benefit or analysis of another entity.
- 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_69e0b503275c8190afd9a163f997c709 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc7d93908190a2c29a4051fb5acc |
completed | April 21, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69e5dbf274ac81909bbf245627dc8fdc |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:55 p.m.