Triple
T6100407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | California's 30th congressional district |
E135978
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object |
Arleta
Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
|
E569858
|
NE FINISHED |
How this triple was built (4 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: Arleta | Statement: [California's 30th congressional district, containsNeighborhood, Arleta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arleta Context triple: [California's 30th congressional district, containsNeighborhood, Arleta]
-
A.
Aleta
Aleta is a central character in the Prince Valiant saga, known as the intelligent and noble Queen of the Misty Isles and the beloved wife of the hero Prince Valiant.
-
B.
Arletta
Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
-
C.
Anela
Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
-
D.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
E.
Marianna
Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arleta Triple: [California's 30th congressional district, containsNeighborhood, Arleta]
Generated description
Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arleta Target entity description: Arleta is a residential neighborhood in the San Fernando Valley region of Los Angeles, California.
-
A.
Aleta
Aleta is a central character in the Prince Valiant saga, known as the intelligent and noble Queen of the Misty Isles and the beloved wife of the hero Prince Valiant.
-
B.
Arletta
Arletta, better known as Herleva of Falaise, was the mother of William the Conqueror and a notable figure in 11th-century Norman history.
-
C.
Anela
Anela is a small town and comune in the historical Logudoro region of northern Sardinia, Italy.
-
D.
Jolanda
Jolanda is a feminine given name, commonly considered a variant of Yolanda, used in various European countries.
-
E.
Marianna
Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
- F. None of above. chosen
Provenance (5 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_69c0087dee9881909e3655be88208c01 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05b3aa9908190865be98ada141d37 |
completed | March 22, 2026, 9:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1254b963081908e8e45968a7b29aa |
completed | March 23, 2026, 11:34 a.m. |
| NEDg | Description generation | batch_69c129464108819086b1a3991ef4c9e1 |
completed | March 23, 2026, 11:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c129d7cd348190963e1a266d5e88ae |
completed | March 23, 2026, 11:53 a.m. |
Created at: March 22, 2026, 4:13 p.m.