Triple
T27640341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Citizens Commission on Human Rights |
E696570
|
entity |
| Predicate | museumLocatedInCity |
P3049
|
FINISHED |
| Object | Los Angeles |
—
|
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 | Statement: [Citizens Commission on Human Rights, museumLocatedInCity, Los Angeles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: museumLocatedInCity Context triple: [Citizens Commission on Human Rights, museumLocatedInCity, Los Angeles]
-
A.
museumCity
chosen
Indicates the city in which a given museum is located.
-
B.
hasMuseumAt
Indicates that a museum is located at or exists in a specified place or location.
-
C.
museumAt
Indicates that an entity (such as an exhibit, artifact, or event) is located at or associated with a particular museum.
-
D.
museumDedicatedToArtistLocation
Indicates that a museum, dedicated to a particular artist, is located at a specific place.
-
E.
hasNumberOfMuseums
Indicates the quantity of museums associated with a given entity.
- F. None of above.
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_69ef5909f3848190805f35b76833e722 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f63190c17c8190a0ee11e09caefc2b |
completed | May 2, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69f62c1921008190a62675a31f66a875 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 2:26 p.m.