Triple
T17991378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Rizal College |
E430380
|
entity |
| Predicate | hasAlumnusWhoBecame |
P130041
|
FINISHED |
| Object | President of the Philippines |
—
|
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: President of the Philippines | Statement: [José Rizal College, hasAlumnusWhoBecame, President of the Philippines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlumnusWhoBecame Context triple: [José Rizal College, hasAlumnusWhoBecame, President of the Philippines]
-
A.
namedAfterAlumnusOf
Indicates that one entity is named in honor of a person who is an alumnus of another specified institution or organization.
-
B.
hasAlumni
Indicates that an institution or organization is associated with individuals who formerly attended or graduated from it.
-
C.
namedAlumnus
Indicates that an entity is explicitly identified or designated as an alumnus of another entity (such as an institution or organization).
-
D.
hasAlumnusPosition
Indicates that an individual holds or has held a position or role as an alumnus of a particular institution or organization.
-
E.
hasAlumnusAchievement
Indicates that an alumnus has attained a specific notable achievement or distinction.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b29fd7648190b7f09ea60c7b96a8 |
completed | April 19, 2026, 10:46 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:23 a.m.