Triple
T3267578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago community areas |
E68562
|
entity |
| Predicate | haveIdentifier |
P46986
|
FINISHED |
| Object | community area number |
—
|
LITERAL FINISHED |
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: community area number | Statement: [Chicago community areas, haveIdentifier, community area number]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: haveIdentifier Context triple: [Chicago community areas, haveIdentifier, community area number]
-
A.
hasIdentifierSystem
Indicates that an entity is associated with a particular system or scheme used to assign and manage its identifiers.
-
B.
hasRouteIdentifier
Indicates that an entity is associated with a specific route code or identifier used to distinguish it from other routes.
-
C.
hasIdentity
Indicates that one entity is the same as, or is identified as, another specific entity or identifier.
-
D.
identifierFor
Indicates that one entity serves as a unique identifying label or code for another entity.
-
E.
hasCommunicationIdentifier
Indicates that an entity is associated with a specific communication-related identifier (such as a phone number, email address, or messaging handle) used for contact or messaging purposes.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcf9c6c819092f9c618b778b46d |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada41d7eac8190ada4bf5f793d5c49 |
completed | March 8, 2026, 4:30 p.m. |
| PDg | Predicate description generation | batch_69ada525bb2c8190b773efe6d696b6ab |
completed | March 8, 2026, 4:34 p.m. |
Created at: March 8, 2026, 3:09 p.m.