Triple
T29613939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER universe |
E754807
|
entity |
| Predicate | hasCitySetting |
P7747
|
FINISHED |
| Object | Chicago, Illinois |
—
|
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: Chicago, Illinois | Statement: [ER universe, hasCitySetting, Chicago, Illinois]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCitySetting Context triple: [ER universe, hasCitySetting, Chicago, Illinois]
-
A.
hasSetting
Indicates that an entity takes place, occurs, or exists within a particular environment, context, or location.
-
B.
settingCity
chosen
Indicates that a work or event takes place in, or is primarily located within, a particular city.
-
C.
hasCityRight
Indicates that an entity possesses legal or official rights associated with a particular city, such as jurisdiction, privileges, or authority within that city.
-
D.
basedInSetting
Indicates that an entity is situated, located, or primarily operates within a particular setting or environment.
-
E.
hasUserSetting
Indicates that a user is associated with a specific configuration or preference setting.
- 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_69f0ef85f62081909842b59fdf8717e1 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
Created at: April 28, 2026, 6:30 p.m.