Triple
T10860778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malibu Creek |
E256395
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Malibu |
E151892
|
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: Malibu | Statement: [Malibu Creek, region, Malibu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malibu Context triple: [Malibu Creek, region, Malibu]
-
A.
Malibu
Malibu is a popular coconut-flavored Caribbean rum liqueur widely used in tropical and mixed cocktails.
-
B.
Malibu, California
chosen
Malibu, California is a coastal city in Los Angeles County known for its scenic beaches, affluent residential communities, and role as a hub for entertainment industry professionals.
-
C.
Dellaventura
Dellaventura is a 1990s American crime drama television series starring Danny Aiello as a former NYPD detective turned private investigator.
-
D.
La Elipa
La Elipa is a Madrid Metro station in the Ciudad Lineal district, serving the residential neighborhood of the same name on Line 2.
-
E.
Santa Monica
Santa Monica is a coastal municipality on Siargao Island in the Philippines, known for its laid-back rural atmosphere, beaches, and fishing communities.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154c05bf081909d1892c6c81a5f2c |
completed | April 16, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:20 p.m.