Triple
T7427955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSRP |
E171414
|
entity |
| Predicate | groupConcept |
P60805
|
FINISHED |
| Object | HSRP group |
—
|
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: HSRP group | Statement: [HSRP, groupConcept, HSRP group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: groupConcept Context triple: [HSRP, groupConcept, HSRP group]
-
A.
categoryConcept
chosen
Indicates that one entity serves as a categorical type or conceptual class under which the other entity is grouped or classified.
-
B.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
-
C.
groupCharacterization
Indicates how a group as a whole is described or characterized in terms of its shared properties, traits, or defining features.
-
D.
addressesConcept
Indicates that one entity deals with, discusses, or responds to the subject matter represented by another entity.
-
E.
membershipConcept
Indicates that one entity defines or represents the conceptual basis or type of membership that applies to 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_69c68a63491881909281f73d4d5643bf |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f306bfe481909f99f6792de95ffc |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:12 p.m.