Triple
T36056509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Committee for Economic Development (Guernsey) |
E1042960
|
entity |
| Predicate | hasParentOrganization |
P10
|
FINISHED |
| Object |
States of Guernsey Policy & Resources Committee
The States of Guernsey Policy & Resources Committee is the senior political body of Guernsey’s government responsible for overall policy coordination, financial strategy, and cross-committee governance.
|
E2166802
|
NE 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: States of Guernsey Policy & Resources Committee | Statement: [Committee for Economic Development (Guernsey), hasParentOrganization, States of Guernsey Policy & Resources Committee]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: States of Guernsey Policy & Resources Committee Triple: [Committee for Economic Development (Guernsey), hasParentOrganization, States of Guernsey Policy & Resources Committee]
Generated description
The States of Guernsey Policy & Resources Committee is the senior political body of Guernsey’s government responsible for overall policy coordination, financial strategy, and cross-committee governance.
Provenance (5 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b1e9cfa48190b06a925ec823635d |
completed | May 3, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38cba591908190978c635582500aa8 |
completed | June 22, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a38cc39f7b08190a724bf37300945a5 |
completed | June 22, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a38cd5a88e08190ba69fd3d8dad28f2 |
completed | June 22, 2026, 5:51 a.m. |
Created at: May 3, 2026, 4:08 p.m.