Triple
T23311345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Searingtown |
E590591
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Albertson |
—
|
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: Albertson | Statement: [Searingtown, locatedNear, Albertson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Albertson Context triple: [Searingtown, locatedNear, Albertson]
-
A.
Albertson
Albertson is the surname of Comic Book Guy, the sarcastic, pop-culture-obsessed comic shop owner from the animated television series "The Simpsons."
-
B.
Albertson
chosen
Albertson is a suburban hamlet on Long Island in Nassau County, New York, known primarily as a residential community within the greater New York metropolitan area.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Allén
Allén is a Swedish surname most notably borne by linguist and former permanent secretary of the Swedish Academy, Sture Allén.
-
E.
Alden
Alden is a small unincorporated community and popular lakeside resort area on the shores of Torch Lake in northern Michigan.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1972bd3f88190a3859ffcf2c6ab49 |
completed | April 29, 2026, 5:29 a.m. |
Created at: April 17, 2026, 5:06 p.m.