Triple
T26191148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of National Hero (Jamaica) |
E654966
|
entity |
| Predicate | rankInJamaicanHonours |
P75295
|
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: [Order of National Hero (Jamaica), rankInJamaicanHonours, highest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankInJamaicanHonours Context triple: [Order of National Hero (Jamaica), rankInJamaicanHonours, highest]
-
A.
rankInJamaicanHonoursSystem
chosen
Indicates the specific level or position an entity holds within the formal hierarchy of the Jamaican honours and awards system.
-
B.
rankInCanadianHonoursSystem
Indicates the position or level an honour occupies within the formal hierarchy of the Canadian honours system.
-
C.
rankInIndiaCivilianHonours
Indicates the position or level of a civilian honour within the hierarchy of civilian awards in India.
-
D.
rankInPhilippineHonorsSystem
Indicates the specific level or position an entity holds within the official hierarchy of the Philippine honors and awards system.
-
E.
rankInIndonesianHonoursSystem
Indicates the specific hierarchical position an honour or title holds within the official Indonesian honours system.
- 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_69ee5b469bc081908fe486453fdad810 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 26, 2026, 8:44 p.m.