Triple
T3631158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kepler space telescope |
E76957
|
entity |
| Predicate | fieldLocation |
P47308
|
FINISHED |
| Object | constellations Cygnus and Lyra |
—
|
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: constellations Cygnus and Lyra | Statement: [Kepler space telescope, fieldLocation, constellations Cygnus and Lyra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldLocation Context triple: [Kepler space telescope, fieldLocation, constellations Cygnus and Lyra]
-
A.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
-
B.
downFieldLocation
Indicates a location that is farther downfield relative to a reference point, typically in the direction of offensive play or progression.
-
C.
subjectLocation
chosen
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
D.
labelLocation
Indicates that a label or identifier is associated with a specific spatial or geographic location.
-
E.
eraLocation
Indicates the place or geographic context in which a particular historical era or time period occurs or is primarily associated.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc30136e88190922bb542971b5239 |
completed | March 8, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69adb8410a5881909c94818d7060b2b0 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.