Triple
T31963363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allen County, Indiana |
E816104
|
entity |
| Predicate | isCountyOfMetropolitanArea |
P173063
|
FINISHED |
| Object | Fort Wayne 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: Fort Wayne metropolitan area | Statement: [Allen County, Indiana, isCountyOfMetropolitanArea, Fort Wayne metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCountyOfMetropolitanArea Context triple: [Allen County, Indiana, isCountyOfMetropolitanArea, Fort Wayne metropolitan area]
-
A.
hasMetropolitanCounty
Indicates that an entity is associated with, located within, or administered by a specific metropolitan county.
-
B.
isInCountySeatMetroArea
Indicates that an entity is located within the metropolitan area of a county seat.
-
C.
isNamedCountyOf
Indicates that a county bears a specific official name within a given jurisdiction or context.
-
D.
isInCountySeatOf
Indicates that one entity is located within the town or city that serves as the administrative center (county seat) of a specified county.
-
E.
isPartOfMicropolitanArea
Indicates that an entity belongs to or is included within a designated micropolitan area.
- 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_69f348f4ec708190abbb2a7c3ed58844 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2e818e4819088fc7699503d4242 |
completed | May 3, 2026, 2:28 a.m. |
| PD | Predicate disambiguation | batch_69f6b151ad008190836c1bcdec503ce2 |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:09 a.m.