Triple
T5345239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Science and Innovation |
E124037
|
entity |
| Predicate | hadHead |
P42656
|
FINISHED |
| Object | Director General of Science and Innovation |
—
|
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: Director General of Science and Innovation | Statement: [Office of Science and Innovation, hadHead, Director General of Science and Innovation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadHead Context triple: [Office of Science and Innovation, hadHead, Director General of Science and Innovation]
-
A.
heads
Indicates that one entity leads, directs, or is in charge of another entity, such as an organization, group, or initiative.
-
B.
hasHeadOf
chosen
Indicates that one entity serves as the leader, chief, or person in charge of another entity (such as an organization, group, or department).
-
C.
hadNo
Indicates that one entity completely lacked or did not possess another entity, attribute, or relationship.
-
D.
has
Indicates that one entity possesses, owns, contains, or includes another entity as part of its state or composition.
-
E.
headStatus
Indicates the current condition, role, or state of an entity in its capacity as a head or leader within a given context.
- 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_69bd464be27081908807b40b75c1bbae |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85ec46ac81908e45ffb1b7a71507 |
completed | March 20, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69bd845a62b081909782863865b257a9 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.