Triple
T24737045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Star of the Republic of Indonesia |
E618443
|
entity |
| Predicate | rankInIndonesianHonoursSystem |
P157068
|
FINISHED |
| Object | highest |
—
|
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: highest | Statement: [Star of the Republic of Indonesia, rankInIndonesianHonoursSystem, highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInIndonesianHonoursSystem Context triple: [Star of the Republic of Indonesia, rankInIndonesianHonoursSystem, highest]
-
A.
rankInPhilippineHonorsSystem
Indicates the specific level or position an entity holds within the official hierarchy of the Philippine honors and awards system.
-
B.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
C.
rankInPakistanHonoursSystem
Indicates the position or level an honour occupies within the formal hierarchy of Pakistan’s honours system.
-
D.
rankInGallantryAwards
Indicates the position or level an entity holds within a hierarchy or ordering of gallantry awards.
-
E.
rankInJamaicanHonoursSystem
Indicates the specific level or position an entity holds within the formal hierarchy of the Jamaican honours and awards system.
- 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_69e2fab8f95c81908bb9e552cf3280c2 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410a001788190a457e41f53aaf90c |
completed | May 1, 2026, 2:32 a.m. |
Created at: April 18, 2026, 4:03 a.m.