Triple
T3492819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Space-Based Infrared System |
E73776
|
entity |
| Predicate | usesSensorType |
P17204
|
FINISHED |
| Object | infrared sensor |
—
|
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: infrared sensor | Statement: [Space-Based Infrared System, usesSensorType, infrared sensor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSensorType Context triple: [Space-Based Infrared System, usesSensorType, infrared sensor]
-
A.
hasSensor
chosen
Indicates that one entity is equipped with, contains, or uses a particular sensor.
-
B.
detectorType
Indicates the specific kind or category of detector associated with an entity or measurement.
-
C.
usesToolType
Indicates that an entity performs an action or fulfills a role by employing a specific type or category of tool.
-
D.
usesOpticsType
Indicates that one entity employs or is characterized by a specific type of optical system or technology.
-
E.
usesDevice
Indicates that one entity operates, employs, or relies on a particular device to perform an action or achieve a purpose.
- 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_69ad85cca8d4819088494e9f3340fab5 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbabd1708190b1ca4cbc87462b5b |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.