Triple
T28612117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Relentless Logic |
E724189
|
entity |
| Predicate | usesClues |
P98584
|
FINISHED |
| Object | logical clues about adjacent mines |
—
|
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: logical clues about adjacent mines | Statement: [Relentless Logic, usesClues, logical clues about adjacent mines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesClues Context triple: [Relentless Logic, usesClues, logical clues about adjacent mines]
-
A.
leavesCluesFor
chosen
Indicates that one entity intentionally or unintentionally provides hints, traces, or evidence that can be used by another entity to discover, understand, or infer something.
-
B.
keyClue
Indicates that something serves as an essential hint or piece of information needed to understand, solve, or unlock another related element.
-
C.
hasSleuth
Indicates that an entity is associated with or employs a sleuth (detective) responsible for investigating on its behalf.
-
D.
usesHeuristics
Indicates that an entity relies on heuristic methods or rules of thumb, rather than exhaustive or optimal procedures, to make decisions or solve problems.
-
E.
usesIntelligence
Indicates that an entity applies mental abilities such as reasoning, problem-solving, or understanding to perform an action or achieve a goal.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7221dc9a88190bb8194fcc29c42bc |
completed | May 3, 2026, 10:23 a.m. |
| PD | Predicate disambiguation | batch_69f72153a9188190b02adc84e1be4af8 |
completed | May 3, 2026, 10:20 a.m. |
Created at: April 28, 2026, 4:30 a.m.