Triple
T35941446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blacksmith of Ballinalee |
E1039453
|
entity |
| Predicate | hasFieldOfActivityOfBearer |
P165783
|
FINISHED |
| Object | politics |
—
|
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: politics | Statement: [The Blacksmith of Ballinalee, hasFieldOfActivityOfBearer, politics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFieldOfActivityOfBearer Context triple: [The Blacksmith of Ballinalee, hasFieldOfActivityOfBearer, politics]
-
A.
holderFieldOfActivity
chosen
Indicates that one entity has a particular field of activity, profession, or domain in which it is active or engaged.
-
B.
hasHumanActivities
Indicates that certain human actions, behaviors, or practices are present, performed, or associated with a given entity.
-
C.
isAssociatedWithProfessionOfBearer
Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
-
D.
hasActivityType
Indicates the specific kind or category of activity associated with an entity or event.
-
E.
hasActivityIn
Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
- 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_69f76e24bbd0819096b837d35371639a |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fff09dae088190bd8460060d778feb |
completed | May 10, 2026, 2:42 a.m. |
| PD | Predicate disambiguation | batch_69fff0027c5c8190baa5c7a15852cbe0 |
completed | May 10, 2026, 2:40 a.m. |
Created at: May 3, 2026, 4:07 p.m.