Triple
T3894453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaia observatory |
E88135
|
entity |
| Predicate | countryOfAgency |
P52718
|
FINISHED |
| Object | multinational European |
—
|
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: multinational European | Statement: [Gaia observatory, countryOfAgency, multinational European]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryOfAgency Context triple: [Gaia observatory, countryOfAgency, multinational European]
-
A.
memberCountryAgency
Indicates that an agency belongs to, is governed by, or officially represents a particular member country within a larger organization or system.
-
B.
countryOfPatronage
Indicates the country that officially supports, sponsors, or acts as a patron for a given entity or activity.
-
C.
countryOfOffice
Indicates the country in which a person’s official position, role, or office is held or exercised.
-
D.
countryOfParentOrganization
Indicates that an organization is located in or associated with the country where its parent organization is based.
-
E.
governingBodyCountry
Indicates the country within whose jurisdiction or authority a governing body operates or to which it officially belongs.
- 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef1abe2dc81909c18aeae9b286898 |
completed | March 9, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69aee75b5b808190a348a31b1325d3d0 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aef1aada308190821a3dfa6af170b3 |
completed | March 9, 2026, 4:13 p.m. |
Created at: March 9, 2026, 3:21 p.m.