Triple
T2002409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Root Server System |
E43499
|
entity |
| Predicate | hasLogicalServerLabel |
P9248
|
FINISHED |
| Object | A-root |
—
|
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: A-root | Statement: [Root Server System, hasLogicalServerLabel, A-root]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLogicalServerLabel Context triple: [Root Server System, hasLogicalServerLabel, A-root]
-
A.
hasLabel
chosen
Indicates that an entity is associated with a specific textual label or name used to identify or describe it.
-
B.
hasServer
Indicates that one entity functions as or possesses a server that provides services or resources to another entity.
-
C.
hasServerComponent
Indicates that an entity includes, depends on, or is associated with a particular server-side component.
-
D.
hasSubsidiaryLabel
Indicates that one entity is identified as a subsidiary or subordinate organization of another entity.
-
E.
hasLeaderLineage
Indicates that an entity’s lineage or ancestry includes one or more individuals who have held a leadership role.
- 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_69a88715dbbc8190b2299e29e955d997 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8820cec8190a945e5daeb8c9df6 |
completed | March 7, 2026, 5:32 a.m. |
| PD | Predicate disambiguation | batch_69abb79e63c08190982c8b44a557266f |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.