Triple
T19089620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LBSU |
E467248
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Long Beach |
—
|
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: Long Beach | Statement: [LBSU, homeCity, Long Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Long Beach Context triple: [LBSU, homeCity, Long Beach]
-
A.
Long Beach
Long Beach is a small coastal city in southern Mississippi known for its white-sand beaches, proximity to the Gulf of Mexico, and relaxed residential character.
-
B.
Long Beach
Long Beach is a popular, scenic stretch of sandy shoreline on Vietnam’s Phu Quoc Island, known for its sunsets, resorts, and calm tropical waters.
-
C.
Long Beach
chosen
Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
-
D.
Long Beach
Long Beach is a popular sandy seaside area in Kuşadası, Turkey, known for its long shoreline, swimming, and water sports.
-
E.
Long Beach
Long Beach is a renowned stretch of sandy coastline near Tofino on Vancouver Island, famous for its surfing, storm watching, and scenic Pacific Rim National Park setting.
- 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e34a589c8190b5171fab45bf2204 |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.