Triple
T9232333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LightSail 2 |
E221846
|
entity |
| Predicate | sailConfiguration |
P45637
|
FINISHED |
| Object | square sail with four triangular quadrants |
—
|
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: square sail with four triangular quadrants | Statement: [LightSail 2, sailConfiguration, square sail with four triangular quadrants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sailConfiguration Context triple: [LightSail 2, sailConfiguration, square sail with four triangular quadrants]
-
A.
sailPlan
Indicates a plan or arrangement for how a vessel will be sailed, including intended route, timing, and sailing configuration.
-
B.
sailNumber
Indicates the identifying number assigned to a specific sail or sailing vessel, typically used to distinguish it from others.
-
C.
hasSail
Indicates that one entity possesses or is equipped with a sail used for catching wind.
-
D.
hasSailType
chosen
Indicates that an entity is characterized by or equipped with a specific type of sail.
-
E.
sailingUnder
Indicates that one entity (typically a vessel) is operating or traveling while registered, flagged, or officially recognized under the authority or jurisdiction of another entity (such as a country or organization).
- 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_69ca83ed628c8190bc02d641e57f097f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccee1a7e9881908e0c11f242162017 |
completed | April 1, 2026, 10:06 a.m. |
| PD | Predicate disambiguation | batch_69cc7a3daeb481908b0abde3fbc1f1f0 |
completed | April 1, 2026, 1:51 a.m. |
Created at: March 30, 2026, 7:29 p.m.