Triple
T19927698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Mayer |
E478969
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Fairview |
—
|
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: Fairview | Statement: [Susan Mayer, residence, Fairview]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairview Context triple: [Susan Mayer, residence, Fairview]
-
A.
Fairview
Fairview is a residential neighbourhood in Halifax, Nova Scotia, known for its diverse community and proximity to major urban amenities.
-
B.
Fairview
Fairview is a community in Alameda County, California, situated adjacent to the city of Hayward in the San Francisco Bay Area.
-
C.
Fairview
Fairview is a residential and coastal neighborhood on the northside of Dublin, Ireland, known for its large public park and proximity to the city center.
-
D.
Fairview
Fairview is a large residential and commercial district in Quezon City, Philippines, known for its subdivisions, shopping centers, and location near the northern end of Commonwealth Avenue.
-
E.
Fairview
Fairview is a residential neighborhood located within the city of Chicopee in western Massachusetts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659cc1a448190aa98d4a66022457e |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.