Triple
T4065985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAN |
E86323
|
entity |
| Predicate | activeModeDescription |
P4637
|
FINISHED |
| Object | uses pulsed neutron generator to irradiate subsurface |
—
|
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: uses pulsed neutron generator to irradiate subsurface | Statement: [DAN, activeModeDescription, uses pulsed neutron generator to irradiate subsurface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activeModeDescription Context triple: [DAN, activeModeDescription, uses pulsed neutron generator to irradiate subsurface]
-
A.
stateOfActivity
Indicates the current condition, phase, or status that an activity is in at a given time.
-
B.
modeBDescription
Indicates the descriptive label or explanation associated with a specific operational or behavioral mode B.
-
C.
modeADescription
chosen
Indicates the descriptive text or explanation associated with a particular mode of operation or state.
-
D.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
E.
isActive
Indicates that an entity is currently functioning, engaged, or enabled within a given context or system.
- 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_69aed93c69208190a4efac0efe3cd69b |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbf58d9c8190936e453b0d397cb0 |
completed | March 9, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69aef9061d2481908307cafc9e9b32c0 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:38 p.m.