Triple
T3459132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ridderzaal |
E72978
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | States General |
E5369
|
NE 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: States General | Statement: [Ridderzaal, usedBy, States General]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: States General Context triple: [Ridderzaal, usedBy, States General]
-
A.
States General
chosen
The States General is the bicameral national parliament of the Netherlands, consisting of the House of Representatives and the Senate.
-
B.
States
The States are the individual self-governing regional political units within the federal system of Australia, each with its own parliament and constitutional powers.
-
C.
States
States are the primary constituent political units of the Republic of India, each with its own government and legislature operating within the federal constitutional framework.
-
D.
State
State is an underground subway station in downtown Boston that serves as a major transfer point between the MBTA Blue and Orange Lines.
-
E.
State
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85b12a908190a1d10a6b03b4f8ae |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae4c18881908b48d16e46f78209 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b361093d288190a023e8485265a989 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.