Triple
T34506541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hegewisch |
E885901
|
entity |
| Predicate | hasNumberInChicagoCommunityAreas |
P15629
|
FINISHED |
| Object | 55 |
—
|
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: 55 | Statement: [Hegewisch, hasNumberInChicagoCommunityAreas, 55]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberInChicagoCommunityAreas Context triple: [Hegewisch, hasNumberInChicagoCommunityAreas, 55]
-
A.
hasAreaNumber
Indicates that an entity is associated with a specific area identified by a numerical code.
-
B.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
C.
isBoroughNumber
Indicates that a specific numerical identifier corresponds to a particular borough within a larger administrative region.
-
D.
communityAreaNumber
chosen
Indicates the specific numbered community area to which an entity is assigned or associated.
-
E.
hasUrbanDistrictNumber
Indicates that an entity is assigned a specific identifying number corresponding to its urban district.
- 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_69f349cc0220819081f154c6964f4dc2 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69feaa483fcc81909d8a46b38a8717bf |
completed | May 9, 2026, 3:30 a.m. |
| PD | Predicate disambiguation | batch_69fea8c9d45c81908ccc8619e5fefac1 |
completed | May 9, 2026, 3:23 a.m. |
Created at: May 1, 2026, 2:01 a.m.