Triple
T17788380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porter, Texas |
E444082
|
entity |
| Predicate | hasHighSchool |
P113
|
FINISHED |
| Object | Porter High School |
—
|
NE NERFINISHED |
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: Porter High School | Statement: [Porter, Texas, hasHighSchool, Porter High School]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Porter High School Context triple: [Porter, Texas, hasHighSchool, Porter High School]
-
A.
Porter High School
chosen
Porter High School is a public secondary school serving students in the New Caney area of southeastern Texas.
-
B.
Forest High School
Forest High School is a secondary school located in Cinderford, Gloucestershire, England.
-
C.
Washington High School
Washington High School is a public secondary school in California that serves students in the Fremont Unified School District.
-
D.
South High School
South High School is a public high school in Bakersfield, California, serving students as part of the Kern High School District.
-
E.
North High School
North High School is a public secondary school in California that serves students within the Kern High School District.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48794542c8190b049bce6e28c9f3a |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.