Triple
T22499109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ISRG Root X1 |
E556220
|
entity |
| Predicate | subjectLocality |
P148451
|
FINISHED |
| Object | Los Angeles |
—
|
NE NERFINISHED |
How this triple was built (3 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 | Statement: [ISRG Root X1, subjectLocality, Los Angeles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Los Angeles Context triple: [ISRG Root X1, subjectLocality, Los Angeles]
-
A.
Los Angeles
chosen
Los Angeles is a major U.S. metropolis known for its entertainment industry, cultural diversity, and sprawling urban landscape.
-
B.
Los Ángeles
Los Ángeles is a mid-sized Chilean city known as an important commercial and agricultural center in the south-central part of the country.
-
C.
San Angeles
San Angeles is a fictional futuristic megacity formed from the merger of Los Angeles and San Diego in the science fiction film "Demolition Man."
-
D.
San Fransokyo
San Fransokyo is a fictional futuristic hybrid city combining elements of San Francisco and Tokyo, serving as the primary setting of Disney's animated film "Big Hero 6."
-
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectLocality Context triple: [ISRG Root X1, subjectLocality, Los Angeles]
-
A.
typeLocality
Indicates the specific geographic location where a specimen or taxon was originally found and formally described.
-
B.
originLocality
Indicates the specific locality or place where an entity (typically a specimen or item) originally came from or was collected.
-
C.
subjectLocation
Indicates that one entity is located at, in, or near the place or position specified by another entity.
-
D.
coversLocality
Indicates that one entity spatially includes or encompasses the area or extent of a specified locality.
-
E.
isCentralLocalityOf
Indicates that a locality serves as the main or central place within a larger administrative or geographic area.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb3deb88190874230ae06a352d6 |
completed | April 29, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69e898be31448190be5ae7f5656f0497 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:50 p.m.