Triple
T27090459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pencil |
E686151
|
entity |
| Predicate | referredPersonResidence |
P175219
|
FINISHED |
| Object | Los Angeles, California, United States |
—
|
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: Los Angeles, California, United States | Statement: [The Pencil, referredPersonResidence, Los Angeles, California, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referredPersonResidence Context triple: [The Pencil, referredPersonResidence, Los Angeles, California, United States]
-
A.
referredPersonRegion
Indicates the geographic region associated with the person who is being referred to in the relationship.
-
B.
namedAfterResidenceOf
Indicates that one entity is named after the place where another entity lives or has lived.
-
C.
residesUnder
Indicates that one entity lives or is situated beneath another entity in a hierarchical or spatial structure.
-
D.
residesNear
Indicates that one entity lives or is located in close physical proximity to another entity.
-
E.
hostResidenceOf
Indicates that a location serves as the primary place of residence for a specified person or group.
- F. None of above. chosen
Provenance (4 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6cee3604c81908a07eade2f39064e |
completed | May 3, 2026, 4:28 a.m. |
Created at: April 27, 2026, 8:40 a.m.