Triple
T8137446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Coal Board |
E190006
|
entity |
| Predicate | peakPeriodOfEmployment |
P23435
|
FINISHED |
| Object | 1950s |
—
|
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: 1950s | Statement: [National Coal Board, peakPeriodOfEmployment, 1950s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakPeriodOfEmployment Context triple: [National Coal Board, peakPeriodOfEmployment, 1950s]
-
A.
peakEmployment
chosen
Indicates that an entity has reached its highest level of employment or workforce size during a specified period.
-
B.
occupationDuration
Indicates the length of time an entity holds or has held a particular occupation or role.
-
C.
workPeriod
Indicates the span of time during which an entity is engaged in a particular work or employment activity.
-
D.
partOfWorkPeriod
Indicates that a specific time span is contained within, and belongs to, a larger defined work period.
-
E.
workYear
Indicates the specific year or span of years during which an entity (such as a person or organization) was engaged in work or employment.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4402b35c81909363ffa9ce952ca4 |
completed | March 31, 2026, 3:48 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.