Triple
T22650674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Options API |
E559082
|
entity |
| Predicate | organizesLogicBy |
P149069
|
FINISHED |
| Object | option properties |
—
|
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: option properties | Statement: [Options API, organizesLogicBy, option properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesLogicBy Context triple: [Options API, organizesLogicBy, option properties]
-
A.
organizesInto
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
B.
organizes
Indicates that one entity arranges, coordinates, or structures activities, items, or people into an ordered or planned form for a particular purpose.
-
C.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
D.
organizingElement
Indicates that one entity serves as the primary structuring or coordinating element that arranges, orders, or systematizes other related entities or components.
-
E.
organizesLawFrom
Indicates that one entity arranges, structures, or systematizes legal rules, principles, or information originating from another entity or source.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703b40b88190aec5cf2fa28bfcbf |
completed | April 29, 2026, 2:43 a.m. |
| PD | Predicate disambiguation | batch_69ee6294c4c08190b7e4829f4b9af24b |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:05 p.m.