Triple
T27519574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayor of The Hague |
E694667
|
entity |
| Predicate | hasOfficialTitleInDutch |
P51323
|
FINISHED |
| Object | Burgemeester van Den Haag |
—
|
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: Burgemeester van Den Haag | Statement: [Mayor of The Hague, hasOfficialTitleInDutch, Burgemeester van Den Haag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialTitleInDutch Context triple: [Mayor of The Hague, hasOfficialTitleInDutch, Burgemeester van Den Haag]
-
A.
hasDutchTitle
Indicates that an entity possesses a title or name expressed in the Dutch language.
-
B.
hasNameInDutch
Indicates that an entity is associated with a specific name or label expressed in the Dutch language.
-
C.
officialTitleInLanguage
chosen
Indicates that an entity’s official title or designation is expressed in a specified language.
-
D.
hasOfficialNameInEnglish
Indicates that an entity has an officially recognized name expressed in the English language.
-
E.
hasOfficialNameInPortuguese
Indicates that an entity has an official name expressed in the Portuguese language.
- 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_69ef538550208190aa9de8e2cb260d93 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 1:20 p.m.