Triple
T6041399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Military Governor of the Philippines |
E134552
|
entity |
| Predicate | lastHolderRank |
P68331
|
FINISHED |
| Object | Major General, United States Army |
—
|
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: Major General, United States Army | Statement: [Military Governor of the Philippines, lastHolderRank, Major General, United States Army]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastHolderRank Context triple: [Military Governor of the Philippines, lastHolderRank, Major General, United States Army]
-
A.
lastHolder
Indicates that the subject is the most recent entity to have possessed, owned, or held the object.
-
B.
titleHolderRank
Indicates the relative position or level of precedence assigned to a title holder within a ranked order or hierarchy.
-
C.
lastHeldIn
Indicates that an event or state most recently took place or was hosted in a particular location or context.
-
D.
highestRankIn
Indicates that one entity holds the top or most senior rank within a specified group, category, or context relative to other entities.
-
E.
wasFirstHeldBy
Indicates that an event or activity was initially hosted, organized, or conducted by a particular entity.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056d11370819096ac35349bd91f4e |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8d4a148190bd8f95caae978e1b |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:08 p.m.