Triple
T11961272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatou's lemma |
E284673
|
entity |
| Predicate | conditionOnSequence |
P84224
|
FINISHED |
| Object | sequence indexed by natural numbers |
—
|
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: sequence indexed by natural numbers | Statement: [Fatou's lemma, conditionOnSequence, sequence indexed by natural numbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conditionOnSequence Context triple: [Fatou's lemma, conditionOnSequence, sequence indexed by natural numbers]
-
A.
triggerCondition
Indicates the specific circumstances or state under which an associated event, action, or process is initiated or activated.
-
B.
captureCondition
Indicates the specific circumstances or criteria under which a capture event or action is triggered or considered valid.
-
C.
includesActionSequence
Indicates that one entity contains or encompasses a specific ordered sequence of actions as part of its structure or definition.
-
D.
conditionAfterClosure
Indicates the state or circumstances that exist after a process, event, or entity has been formally closed or concluded.
-
E.
containsCondition
chosen
Indicates that one entity includes, embodies, or is associated with a particular condition.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69d8bb40f30c8190a0e0719bd67542bf |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.