Triple
T1000515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canis Major Dwarf Galaxy |
E21591
|
entity |
| Predicate | surveyBand |
P22290
|
FINISHED |
| Object | near-infrared |
—
|
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: near-infrared | Statement: [Canis Major Dwarf Galaxy, surveyBand, near-infrared]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surveyBand Context triple: [Canis Major Dwarf Galaxy, surveyBand, near-infrared]
-
A.
surveyMode
Indicates the method or format by which a survey is administered or conducted (e.g., online, phone, in-person).
-
B.
surveyMethod
Indicates the technique or procedure used to conduct a survey or collect survey data.
-
C.
surveySystemType
Indicates the type or category of system used to conduct or manage a survey.
-
D.
inquiry
Indicates that one entity seeks information, clarification, or an answer from another through a question or request.
-
E.
primarySurveyArea
Indicates that a specified area is the main or principal region targeted or covered by a particular survey or data collection activity.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4fb18b88190ae2d620aaaff4f90 |
completed | March 1, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b057c48190b9e42df9246b3757 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b3a02ea481909555cf5b7bed0d9a |
completed | March 1, 2026, 9:46 p.m. |
Created at: March 1, 2026, 7:41 p.m.