Triple
T21293398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midtown High School |
E524852
|
entity |
| Predicate | languageOfInstructionInFiction |
P36232
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Midtown High School, languageOfInstructionInFiction, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfInstructionInFiction Context triple: [Midtown High School, languageOfInstructionInFiction, English]
-
A.
languageOfWritings
Indicates that a specified language is the one in which certain writings or written works are composed.
-
B.
languageOfPrimaryNarrations
Indicates the language in which the main or primary narrations are expressed or conveyed.
-
C.
languageOfFictionalUniverse
Indicates the language used or spoken within a fictional universe or setting.
-
D.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
E.
languageOfTeachings
chosen
Indicates the language in which teachings, lessons, or instructional content are delivered or expressed.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73856ba988190a8359efecea362cc |
completed | April 21, 2026, 8:41 a.m. |
| PD | Predicate disambiguation | batch_69e61612ab748190a72b8703b938abcb |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 4:04 p.m.