Triple
T28575121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ludvig Holberg monument cenotaph |
E723218
|
entity |
| Predicate | honorsPersonFrom |
P169952
|
FINISHED |
| Object | Denmark |
—
|
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: Denmark | Statement: [Ludvig Holberg monument cenotaph, honorsPersonFrom, Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorsPersonFrom Context triple: [Ludvig Holberg monument cenotaph, honorsPersonFrom, Denmark]
-
A.
honoredPerson
Indicates that a person is the recipient of honor, recognition, or special distinction from another party or in a particular context.
-
B.
honorsPerson
Indicates that one entity formally recognizes, respects, or pays tribute to a specific person.
-
C.
honorsPersonFromState
chosen
Indicates that an entity gives recognition, tribute, or honor to a person specifically associated with a particular state.
-
D.
namedInHonorBy
Indicates that one entity has been used as the namesake or dedicatee by another entity, signifying that the latter is named in honor of the former.
-
E.
honoredOn
Indicates that an entity is formally recognized, celebrated, or commemorated on a specific date or occasion.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 28, 2026, 4:12 a.m.