Triple
T15652503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammersmith (UK Parliament constituency) |
E376346
|
entity |
| Predicate | firstCreationStartDate |
P61740
|
FINISHED |
| Object | 1885 |
—
|
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: 1885 | Statement: [Hammersmith (UK Parliament constituency), firstCreationStartDate, 1885]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCreationStartDate Context triple: [Hammersmith (UK Parliament constituency), firstCreationStartDate, 1885]
-
A.
firstCreatedAt
Indicates the time or date at which an entity was initially created for the first time.
-
B.
firstCreationYear
chosen
Indicates the year in which something was first created or originally produced.
-
C.
firstIntroductionDate
Indicates the date on which an entity was first introduced or presented for the first time.
-
D.
firstCreatedUsing
Indicates that one entity was initially produced or brought into existence through the use, application, or involvement of another entity.
-
E.
firstUsedAt
Indicates the time or place at which something was initially used or put into operation.
- 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ef089948190902ec22f4d7bc932 |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.