Triple
T23220774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lindsay High School |
E580883
|
entity |
| Predicate | city |
P40
|
FINISHED |
| Object | Lindsay |
—
|
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: Lindsay | Statement: [Lindsay High School, city, Lindsay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lindsay Context triple: [Lindsay High School, city, Lindsay]
-
A.
Lindsay
Lindsay is a surname most notably associated with American poet Vachel Lindsay, a key figure in early 20th-century performance and visionary poetry.
-
B.
Lindsay
chosen
Lindsay is a small agricultural city in Tulare County, California, known for its citrus production in the San Joaquin Valley.
-
C.
Lindsay
Lindsay is a feminine given name of English origin, used both as a first name and a surname.
-
D.
Lindsay
Lindsay is an Australian federal electoral division in New South Wales that includes the city of Penrith and surrounding suburbs in Western Sydney.
-
E.
Lindsay
Lindsay is a consumer brand best known for its olives and related Mediterranean-style food products.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.