Triple
T27666913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garbage Collector (.NET) |
E697249
|
entity |
| Predicate | identifiesAsRoots |
P165395
|
FINISHED |
| Object | stack references |
—
|
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: stack references | Statement: [Garbage Collector (.NET), identifiesAsRoots, stack references]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: identifiesAsRoots Context triple: [Garbage Collector (.NET), identifiesAsRoots, stack references]
-
A.
isRootOf
Indicates that one entity is the root or origin point from which another entity directly or indirectly descends or is derived.
-
B.
hasRootSystem
Indicates that one entity possesses or is characterized by a particular type of root system.
-
C.
organizationalRoots
Indicates that one organization originates from, was founded by, or structurally grows out of another organization.
-
D.
isRootFormOf
Indicates that one form of a word is the base or canonical form from which another inflected or derived form originates.
-
E.
relatedRoot
Indicates that one entity is connected to another through a shared or common root, origin, or foundational 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_69ef590b85a4819083ec7c12bd3c9c10 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f659355a208190be2609ffc7a9c427 |
completed | May 2, 2026, 8:06 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 27, 2026, 2:39 p.m.