Triple
T28880707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW170814 |
E732408
|
entity |
| Predicate | hasSkyLocalizationArea |
P9997
|
FINISHED |
| Object | about 60 square degrees |
—
|
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: about 60 square degrees | Statement: [GW170814, hasSkyLocalizationArea, about 60 square degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSkyLocalizationArea Context triple: [GW170814, hasSkyLocalizationArea, about 60 square degrees]
-
A.
locatedInSkyRegion
chosen
Indicates that an entity is situated within or associated with a specific region or area of the sky.
-
B.
hasSkyType
Indicates that something possesses or is associated with a particular type or classification of sky.
-
C.
hasSelenographicRegion
Indicates that something is associated with or located within a specific region on the Moon’s surface.
-
D.
hasSatelliteLocation
Indicates that an entity has a secondary or remote location associated with it, such as a branch, satellite office, or auxiliary site.
-
E.
hasLandmarkArea
Indicates that a specified area is designated as the landmark area associated with a particular entity or location.
- 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_69f05b06807c81909b4bbd4c20403a2b |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65b14512c8190a40e70319dcc54cd |
completed | May 2, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f659d02f1c8190831758ac52bb54e4 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 28, 2026, 7:43 a.m.