Triple
T13215402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Co-operative Commonwealth Federation |
E314599
|
entity |
| Predicate | peakFederalSeatCountYear |
P108558
|
FINISHED |
| Object | 1945 |
—
|
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: 1945 | Statement: [Co-operative Commonwealth Federation, peakFederalSeatCountYear, 1945]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakFederalSeatCountYear Context triple: [Co-operative Commonwealth Federation, peakFederalSeatCountYear, 1945]
-
A.
numberOfSeatsInHouseOfRepresentativesPeak
Indicates the highest recorded number of seats held in the House of Representatives at any point in time.
-
B.
numberOfRepresentatives
Indicates the quantity of representatives associated with a given entity or unit.
-
C.
federalDistrictSince
Indicates that an entity has held the status of a federal district starting from a specified point in time.
-
D.
currentIncumbentStartYear
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
-
E.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf28c9c819080d7b42d20f579d1 |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.