Triple
T9695748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nestor |
E234644
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Imperial Beach |
E201776
|
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: Imperial Beach | Statement: [Nestor, borderedBy, Imperial Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imperial Beach Context triple: [Nestor, borderedBy, Imperial Beach]
-
A.
Imperial Beach
chosen
Imperial Beach is a small coastal city in Southern California known for its sandy beaches, surfing culture, and location at the southern end of the San Diego Bay near the U.S.–Mexico border.
-
B.
Hermosa Beach
Hermosa Beach is a coastal city in Los Angeles County known for its sandy beaches, surf culture, and vibrant beachfront community.
-
C.
Oceanside
Oceanside is a coastal city in northern San Diego County known for its beaches, historic wooden pier, and laid-back Southern California surf culture.
-
D.
Oceanside
Oceanside is a suburban hamlet in Nassau County, Long Island, New York, known as a residential community near the South Shore waterfront.
-
E.
Rosarito Beach
Rosarito Beach is a popular coastal resort area in Baja California, Mexico, known for its sandy beaches, nightlife, and proximity to the U.S. border.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d366c488190bc153c68fef197c2 |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af8990608190a841c1fbdb22eb71 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:17 p.m.