Triple
T3780900
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ulam sequence |
E85412
|
entity |
| Predicate | startTermsFixed |
P46246
|
FINISHED |
| Object | 1 and 2 |
—
|
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: 1 and 2 | Statement: [Ulam sequence, startTermsFixed, 1 and 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTermsFixed Context triple: [Ulam sequence, startTermsFixed, 1 and 2]
-
A.
termFixedBy
Indicates that a term is determined, constrained, or made unchangeable by another entity or condition.
-
B.
firstTermStart
Indicates that an entity marks the starting point or initial term in an ordered sequence, period, or agreement.
-
C.
firstTerms
chosen
Indicates that the related entities are the initial elements or starting terms in a sequence, series, or ordered collection.
-
D.
hasNoFixedTermLength
Indicates that the relationship or agreement exists without a predetermined or fixed duration for how long it will remain in effect.
-
E.
typicalStartPeriod
Indicates the usual or standard time period during which something begins or is initiated.
- 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_69aed937fa8881908208ef3801060826 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee634c6ac819099653c660c286746 |
completed | March 9, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69aee3d3c92c819081d9d5c45ef37a5d |
completed | March 9, 2026, 3:14 p.m. |
Created at: March 9, 2026, 3:12 p.m.