Triple
T36487559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Resolution Channel |
E898972
|
entity |
| Predicate | sharesInstrumentWith |
P202536
|
FINISHED |
| Object | Wide Field Channel |
—
|
NE NERFINISHED |
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: Wide Field Channel | Statement: [High Resolution Channel, sharesInstrumentWith, Wide Field Channel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sharesInstrumentWith Context triple: [High Resolution Channel, sharesInstrumentWith, Wide Field Channel]
-
A.
sharesInstrument
Indicates that two or more entities use or play the same musical instrument.
-
B.
sharesMarketWith
Indicates that two entities operate in or target the same market or customer segment, implying competitive or overlapping commercial presence.
-
C.
sharesUniverseWith
Indicates that two entities exist within the same fictional or narrative universe, implying shared continuity, setting, or canon.
-
D.
sharesPositionWith
Indicates that two entities occupy or are assigned the same position, role, or spatial location.
-
E.
sharesSymbol
Indicates that two entities use or are associated with the same identifying symbol (such as a ticker, code, or notation).
- 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_69f76e5ad4588190bdbce60c52fbb785 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a008e29f76881908e656dbbd7fceea3 |
completed | May 10, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_6a008dc01b308190bc26e69814692f82 |
completed | May 10, 2026, 1:53 p.m. |
| PDg | Predicate description generation | batch_6a008e29394481909b8d124c8265141f |
completed | May 10, 2026, 1:54 p.m. |
Created at: May 3, 2026, 4:10 p.m.