Triple
T13921561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brookhaven, Mississippi |
E334756
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | Brookhaven |
E955291
|
NE 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: Brookhaven | Statement: [Brookhaven, Mississippi, abbreviation, Brookhaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brookhaven Context triple: [Brookhaven, Mississippi, abbreviation, Brookhaven]
-
A.
Brookhaven
Brookhaven is a large town in Suffolk County on Long Island, New York, known for its mix of suburban communities, coastal areas, and research institutions such as Brookhaven National Laboratory.
-
B.
Brookhaven
chosen
Brookhaven is a small city in southwestern Mississippi known for its historic downtown and role as a regional commercial center.
-
C.
Brookhaven Park
Brookhaven Park is a popular public green space in Brookhaven, Georgia, known for its open fields, walking paths, and dog-friendly areas.
-
D.
Town Brookhaven
Town Brookhaven is a mixed-use lifestyle center in Brookhaven, Georgia, featuring retail shops, restaurants, entertainment venues, and residential spaces.
-
E.
Manhasset
Manhasset is an affluent suburban hamlet in Nassau County, New York, known for its upscale residential neighborhoods and high-end shopping districts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2aa5c1f481908a9d8786872f08fe |
completed | April 14, 2026, 11:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1c45ba4819096233570d8d4afec |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:16 p.m.