Triple
T37860544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | product logarithm |
E944313
|
entity |
| Predicate | realBranchesInterval |
P189289
|
FINISHED |
| Object | [-1/e,0) |
—
|
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/e,0) | Statement: [product logarithm, realBranchesInterval, [-1/e,0)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realBranchesInterval Context triple: [product logarithm, realBranchesInterval, [-1/e,0)]
-
A.
representedBranch
Indicates that one entity serves as a representative or proxy for a particular branch of another entity or organization.
-
B.
uniformBranch
Indicates that multiple entities share the same branch, division, or organizational unit within a larger structure.
-
C.
hasBranches
Indicates that an entity extends into multiple subordinate parts or offshoots, like limbs, divisions, or sections stemming from a main source.
-
D.
continuousBranchOrder
Indicates that one branch or sequence of branches follows another in an unbroken, ordered progression without gaps.
-
E.
branchCount
Indicates the number of branches associated with a given entity or structure.
- F. None of above. chosen
Provenance (4 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_69f76eee2f9c8190b1272aa2ee55ebf5 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbae3fc508190adff3d7abbf107a4 |
completed | May 6, 2026, 10:04 p.m. |
Created at: May 3, 2026, 4:19 p.m.