Triple
T16898338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frendo Spur |
E424367
|
entity |
| Predicate | difficultyIce |
P2406
|
FINISHED |
| Object | up to 70 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: up to 70 degrees | Statement: [Frendo Spur, difficultyIce, up to 70 degrees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: difficultyIce Context triple: [Frendo Spur, difficultyIce, up to 70 degrees]
-
A.
difficultyOption
Indicates a relationship where a particular option specifies or represents a level of difficulty for something (e.g., a task, question, or activity).
-
B.
difficulty
chosen
Indicates the level of challenge, complexity, or effort required to perform an action, solve a problem, or achieve a particular outcome.
-
C.
difficultyModes
Indicates the different levels of challenge or complexity available for performing a task, activity, or process.
-
D.
difficultySource
Indicates that one entity is the cause, origin, or contributing factor to the difficulty or challenge experienced in relation to another entity or situation.
-
E.
iceStrengthened
Indicates that an entity has been made stronger, reinforced, or enhanced through the application or influence of ice.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8d98c308190bcc0adc7797d1f40 |
completed | April 18, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69e32b9489408190bcb2ede567ff5bf9 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.