Triple
T23945442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Township, Marion County, Indiana |
E602898
|
entity |
| Predicate | locatedInTheNortheasternPartOf |
P154450
|
FINISHED |
| Object | Indianapolis metropolitan area |
—
|
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: Indianapolis metropolitan area | Statement: [Lawrence Township, Marion County, Indiana, locatedInTheNortheasternPartOf, Indianapolis metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTheNortheasternPartOf Context triple: [Lawrence Township, Marion County, Indiana, locatedInTheNortheasternPartOf, Indianapolis metropolitan area]
-
A.
locatedInEasternPartOf
Indicates that one entity is situated within the eastern portion or region of another entity.
-
B.
locatedInNorthwesternPartOf
Indicates that one entity is situated within the northwestern part or region of another entity.
-
C.
locatedInNorthern
Indicates that one entity is situated in the northern part or region of another entity.
-
D.
locatedNorthEastOf
Indicates that one entity is positioned to the north-east of another entity in space.
-
E.
locatedInNorthernOrSouthernPartOfRegion
Indicates that an entity is situated in either the northern or southern part of a specified 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_69e2953e4924819093f1c24c03476b42 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d02dd0cc8190b32eb86bdfe0bf9a |
completed | April 29, 2026, 9:32 a.m. |
| PD | Predicate disambiguation | batch_69f1615518088190a206f54e2fdb14a3 |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f16e348b548190b76e50f9b611f76d |
completed | April 29, 2026, 2:34 a.m. |
Created at: April 17, 2026, 9:11 p.m.