Triple
T8290298
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long-Term Servicing Branch |
E193875
|
entity |
| Predicate | changeManagementGoal |
P22222
|
FINISHED |
| Object | minimize feature churn |
—
|
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: minimize feature churn | Statement: [Long-Term Servicing Branch, changeManagementGoal, minimize feature churn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: changeManagementGoal Context triple: [Long-Term Servicing Branch, changeManagementGoal, minimize feature churn]
-
A.
hasManagementGoal
chosen
Indicates that an entity is associated with a specific management objective or target it is intended to achieve or support.
-
B.
hasMaintenanceGoal
Indicates that an entity is associated with a specific objective or target related to its upkeep, repair, or ongoing maintenance activities.
-
C.
riskManagementGoal
Indicates the objective or desired outcome that guides how risks are identified, assessed, and controlled within a risk management process.
-
D.
strategicGoal
Indicates that one entity represents a long-term objective or desired outcome that another entity is intentionally aiming to achieve or align actions toward.
-
E.
changesRequirement
Indicates that one entity modifies, updates, or alters the requirements associated with 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_69ca82e32db481908b72f3804fa71152 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7c99fdd48190a3f304237be609a0 |
completed | March 31, 2026, 7:49 a.m. |
| PD | Predicate disambiguation | batch_69cb70b5b5348190b296e0ecec95de60 |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:52 p.m.