Triple
T16965442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helensville |
E411527
|
entity |
| Predicate | MPJohnKeyTermEnd |
P125410
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [Helensville, MPJohnKeyTermEnd, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: MPJohnKeyTermEnd Context triple: [Helensville, MPJohnKeyTermEnd, 2014]
-
A.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
B.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
C.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
D.
endTime (Governor of the Bank of England)
Indicates the point in time at which a person’s tenure as Governor of the Bank of England concludes.
-
E.
termAsMPEnd
Indicates that something is designated or used as the end point of a measurement period (MP).
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d0a3cecc8190a490573adce80cca |
completed | April 18, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
| PDg | Predicate description generation | batch_69e3753f93c88190808fec5692f66699 |
completed | April 18, 2026, 12:12 p.m. |
Created at: April 10, 2026, 5:31 a.m.