Triple
T24631540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal College of Obstetricians and Gynaecologists |
E609688
|
entity |
| Predicate | movedHeadquartersToUnionStreet |
P156840
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Royal College of Obstetricians and Gynaecologists, movedHeadquartersToUnionStreet, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: movedHeadquartersToUnionStreet Context triple: [Royal College of Obstetricians and Gynaecologists, movedHeadquartersToUnionStreet, 2019]
-
A.
movedHeadquartersFrom
Indicates that an entity relocated its main headquarters from one specified place to another.
-
B.
movedHeadquartersToLlantrisant
Indicates that an entity relocated its main headquarters to Llantrisant.
-
C.
movedHeadquartersAfter
Indicates that one entity relocated its main headquarters to a new place or organization after a point in time or event associated with another entity.
-
D.
movedHeadquartersToMies
Indicates that an entity relocated its main headquarters to Mies.
-
E.
movedHeadquartersToCity
Indicates that an organization has relocated its main headquarters to a specified city.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be064ff88190b5d9e5ec75a41242 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
| PDg | Predicate description generation | batch_69f2b8b8bc5881908df49c0b07110246 |
completed | April 30, 2026, 2:04 a.m. |
Created at: April 18, 2026, 2:32 a.m.