Triple
T28328774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercersburg Academy |
E717481
|
entity |
| Predicate | hasPostgraduateYear |
P24164
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Mercersburg Academy, hasPostgraduateYear, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPostgraduateYear Context triple: [Mercersburg Academy, hasPostgraduateYear, true]
-
A.
offersPostgraduateYear
chosen
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
B.
hasPostgraduateTraining
Indicates that an entity has completed or is engaged in education or professional training beyond the undergraduate level.
-
C.
hasGraduateInstitute
Indicates that an entity is associated with or offers a specific graduate-level educational institution or program.
-
D.
doctoralDegreeYear
Indicates the calendar year in which an entity received or completed their doctoral degree.
-
E.
hasDoctoralDegree
Indicates that an entity holds a doctoral-level academic degree (such as a PhD, MD, or equivalent).
- 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_69eff6e9a57c8190a69c2c74b5d72119 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_69fcf825ca7081909d06b0df33eb33f9 |
completed | May 7, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fcf42160f0819096812a8bf590875e |
completed | May 7, 2026, 8:20 p.m. |
Created at: April 28, 2026, 12:30 a.m.