Triple
T12535571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Round Mound of Rebound |
E299679
|
entity |
| Predicate | hasBearerPrimaryNumber |
P105771
|
FINISHED |
| Object | 34 |
—
|
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: 34 | Statement: [The Round Mound of Rebound, hasBearerPrimaryNumber, 34]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBearerPrimaryNumber Context triple: [The Round Mound of Rebound, hasBearerPrimaryNumber, 34]
-
A.
hasPrimaryBearer
Indicates that one entity serves as the main or principal holder, carrier, or possessor of another entity.
-
B.
hasNotableBearerOrdinalNumber
Indicates that an entity is associated with a notable bearer identified by a specific ordinal position (e.g., first, second, third) among others with the same name or title.
-
C.
firstBearer
Indicates that the subject is the earliest or original entity to hold, possess, or carry the specified role, title, attribute, or item.
-
D.
hasPrimaryNetwork
Indicates that an entity is associated with or connected to its main or most important network among potentially multiple networks.
-
E.
hasPrimary
Indicates that one entity is designated as the main or most important instance (the primary) in relation to another entity.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d95f5148948190946a575d812b329d |
completed | April 10, 2026, 8:36 p.m. |
Created at: April 8, 2026, 9:57 p.m.