Triple
T24491390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuanku Imam Bonjol |
E617648
|
entity |
| Predicate | yearRecognizedAsNationalHero |
P156517
|
FINISHED |
| Object | 1973 |
—
|
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: 1973 | Statement: [Tuanku Imam Bonjol, yearRecognizedAsNationalHero, 1973]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearRecognizedAsNationalHero Context triple: [Tuanku Imam Bonjol, yearRecognizedAsNationalHero, 1973]
-
A.
recognizedAsNationalHeroBy
Indicates that an individual is officially acknowledged and honored as a national hero by a specific person, group, or institution.
-
B.
commemoratedPersonNationality
Indicates the nationality of the person who is being commemorated.
-
C.
namedForNationalityOfHonouree
Indicates that something is named in honor of a person, specifically referencing that person's nationality.
-
D.
honorsPersonNationality
Indicates that an entity honors, recognizes, or pays tribute to a person specifically in relation to that person's nationality.
-
E.
commemoratedPerson
Indicates that the subject serves as a memorial or tribute to the referenced person.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
| PDg | Predicate description generation | batch_69f2a9d795288190916368e3cec1f666 |
completed | April 30, 2026, 1:01 a.m. |
Created at: April 18, 2026, 2:22 a.m.