Triple
T3573958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FEROS spectrograph |
E75641
|
entity |
| Predicate | numberOfFibers |
P19900
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [FEROS spectrograph, numberOfFibers, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfFibers Context triple: [FEROS spectrograph, numberOfFibers, 2]
-
A.
totalFiberStrands
chosen
Indicates the total number of fiber strands associated with or contained in a given entity or connection.
-
B.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
C.
transmitFiberCount
Indicates the number of individual fibers being transmitted or carried within a given transmission medium or connection.
-
D.
receiveFiberCount
Indicates that an entity obtains or is assigned a specific number of fiber units from another source or process.
-
E.
numberOfFragmentsApprox
Indicates an approximate count of how many fragments or pieces are associated with the subject.
- 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_69ad85d5e3008190bdfe0bacdd1f5a1b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0d928f08190830347b3b032178a |
completed | March 8, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69adb8364d848190a96a9bc7a6126af2 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:21 p.m.