Triple
T15241393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merchandise Mart station |
E364261
|
entity |
| Predicate | hasBoroughEquivalent |
P117714
|
FINISHED |
| Object | Chicago community area |
—
|
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: Chicago community area | Statement: [Merchandise Mart station, hasBoroughEquivalent, Chicago community area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBoroughEquivalent Context triple: [Merchandise Mart station, hasBoroughEquivalent, Chicago community area]
-
A.
hasBorough
Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
-
B.
hasBoroughEndpoint
Indicates that something has an endpoint located within a specific borough.
-
C.
isBoroughSeatOf
Indicates that a place serves as the administrative center or seat of government for a specific borough.
-
D.
hasBoroughCode
Indicates that an entity is associated with a specific borough identified by a particular code.
-
E.
isCentralBoroughOf
Indicates that a borough serves as the primary or central administrative or geographic district of a specified city or region.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:13 a.m.