Triple
T5425579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pythagorean theorem |
E121353
|
entity |
| Predicate | failsIn |
P8788
|
FINISHED |
| Object | general non-Euclidean geometries |
—
|
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: general non-Euclidean geometries | Statement: [Pythagorean theorem, failsIn, general non-Euclidean geometries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: failsIn Context triple: [Pythagorean theorem, failsIn, general non-Euclidean geometries]
-
A.
failedOn
Indicates that an attempted action or process did not succeed when applied to a specific target, condition, or step.
-
B.
failsWhen
chosen
Indicates that a particular action, process, or condition does not succeed under the specified circumstances or triggers.
-
C.
missionFailure
Indicates that an attempted mission or operation did not achieve its intended objectives or outcome.
-
D.
fallCause
Indicates that one event or condition causes or brings about another event of falling or decline.
-
E.
fallsIn
Indicates that one entity is located within, contained by, or geographically/administratively included inside another entity.
- 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_69bd463b58d88190b258261573de9e91 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:06 p.m.