Triple
T36618265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Officer (Pinuno) of the Order of Lakandula |
E903663
|
entity |
| Predicate | rankTitleInEnglish |
P186214
|
FINISHED |
| Object | Officer |
—
|
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: Officer | Statement: [Officer (Pinuno) of the Order of Lakandula, rankTitleInEnglish, Officer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankTitleInEnglish Context triple: [Officer (Pinuno) of the Order of Lakandula, rankTitleInEnglish, Officer]
-
A.
useRankTitles
Indicates that rank-based titles are applied or displayed for the entities involved.
-
B.
rankIn
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
C.
rankOfHead
Indicates the hierarchical level or status assigned to the head (leader) of an entity within an ordered ranking system.
-
D.
lowerOrEqualRankTitle
Indicates that one entity’s rank or title is lower than or equal to the rank or title of another entity.
-
E.
EuropeanTitleCount
Indicates the number of European titles (such as championships or major continental honors) that an entity has won or holds.
- 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_69f76e6960e4819092047756ceb9a17e |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.