Triple
T35516306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JREAP |
E1026427
|
entity |
| Predicate | JREAP A |
P183192
|
FINISHED |
| Object | uses half-duplex communications |
—
|
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 half-duplex communications | Statement: [JREAP, JREAP A, uses half-duplex communications]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JREAP A Context triple: [JREAP, JREAP A, uses half-duplex communications]
-
A.
J2
Indicates a generic relationship or interaction between two entities, where the specific nature of the connection is context-dependent and not defined by the predicate name alone.
-
B.
J4
Indicates that one entity is the fourth item or position in a sequence or ordered set relative to another entity.
-
C.
areA
Indicates that one entity is classified as a type, instance, or member of another entity or category.
-
D.
J6
Indicates that one entity is located inside or within the boundaries of another entity.
-
E.
RAJ2000
Indicates the right ascension coordinate of an object in the J2000.0 equatorial reference frame.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79a54aa3c8190b2bb5d790b2d42d4 |
completed | May 3, 2026, 6:56 p.m. |
| PD | Predicate disambiguation | batch_69f7961970408190b669cc556e30a608 |
completed | May 3, 2026, 6:38 p.m. |
| PDg | Predicate description generation | batch_69f79a53ccc481908421ae16e69aa8a4 |
completed | May 3, 2026, 6:56 p.m. |
Created at: May 3, 2026, 4:04 p.m.