Triple
T37000547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord of Purmerend |
E915332
|
entity |
| Predicate | titleStyleInDutch |
P13266
|
FINISHED |
| Object | Heer van Purmerend |
—
|
NE NERFINISHED |
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: Heer van Purmerend | Statement: [Lord of Purmerend, titleStyleInDutch, Heer van Purmerend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleStyleInDutch Context triple: [Lord of Purmerend, titleStyleInDutch, Heer van Purmerend]
-
A.
hasDutchTitle
chosen
Indicates that an entity possesses a title or name expressed in the Dutch language.
-
B.
titleStyleInFull
Indicates that the specified title is presented in its complete, unabridged form, including all stylistic elements or formatting.
-
C.
titlesStyle
Indicates the stylistic convention or formatting applied to titles in a given context or resource.
-
D.
titleHolderStyle
Indicates the manner or format in which a title holder’s status or designation is presented or styled in relation to another entity.
-
E.
titleStyleAdopted
Indicates that a particular style or format for a title has been chosen and put into use for an entity.
- 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_69f76e8f1a8c81909db172ed31304971 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ffcb5536d88190bfc2e00b854cacfb |
completed | May 10, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69ffc900c2a081909dea04aa60566923 |
completed | May 9, 2026, 11:53 p.m. |
Created at: May 3, 2026, 4:14 p.m.