Triple
T2721235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NIRSpec |
E60082
|
entity |
| Predicate | numberOfDetectors |
P41861
|
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: [NIRSpec, numberOfDetectors, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfDetectors Context triple: [NIRSpec, numberOfDetectors, 2]
-
A.
numberOfMainDetectors
Indicates the quantity of primary detectors associated with or used in a given context or system.
-
B.
numberOfActiveElectrodes
Indicates the count of electrodes in a system or device that are currently active or functioning.
-
C.
numberOfAntennas
Indicates the quantity of antennas that an entity possesses or is associated with.
-
D.
hasNumberOfElectrodes
Indicates the relationship that specifies how many electrodes are associated with a given entity.
-
E.
numberOfReceivers
Indicates the quantity of distinct receivers associated with or involved in a given entity, event, or transaction.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab1cb808190b0789c76bc9cb090 |
completed | March 7, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69abd8240920819087a812d816a55edb |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.