Triple
T11708956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parliament of 1628 |
E278319
|
entity |
| Predicate | parliamentNumberUnderCharlesI |
P100891
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Parliament of 1628, parliamentNumberUnderCharlesI, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parliamentNumberUnderCharlesI Context triple: [Parliament of 1628, parliamentNumberUnderCharlesI, 3]
-
A.
numberOfParliaments
Indicates the count of distinct parliaments associated with or relevant to a given entity.
-
B.
firstParliamentStart
Indicates the date or point in time when an entity’s first parliamentary term or session began.
-
C.
numberOfSeatsInHouseOfCommons
Indicates the total count of seats allocated in the House of Commons.
-
D.
containsParliament
Indicates that one political or administrative entity includes a parliament within its structure or jurisdiction.
-
E.
firstMonarchAfterRestoration
Indicates the monarch who was the first to assume the throne following a period of restoration of the monarchy or regime.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49de0388190a063739426bf90e8 |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7d483081909c2a101087515d74 |
completed | April 10, 2026, 5:28 a.m. |
| PDg | Predicate description generation | batch_69d890458d948190b15054c9ba0fd923 |
completed | April 10, 2026, 5:53 a.m. |
Created at: April 8, 2026, 9:40 p.m.