Triple
T25678601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Park Street area |
E643874
|
entity |
| Predicate | currentNameOfMainRoad |
P5943
|
FINISHED |
| Object | Mother Teresa Sarani |
—
|
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: Mother Teresa Sarani | Statement: [Park Street area, currentNameOfMainRoad, Mother Teresa Sarani]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentNameOfMainRoad Context triple: [Park Street area, currentNameOfMainRoad, Mother Teresa Sarani]
-
A.
isMainRoad
Indicates that a road serves as a primary or major thoroughfare within a transportation network.
-
B.
roadName
chosen
Indicates the specific name assigned to a road that identifies it within a transportation or address system.
-
C.
isNamedRoadIn
Indicates that a specific named road is located within or belongs to a particular geographic area or region.
-
D.
isMajorRoadIn
Indicates that a road is classified as a major road within a specified geographic area or jurisdiction.
-
E.
previousStreetName
Indicates that one street name was formerly used for a street that now has a different, current name.
- 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_69e77e7f69808190ad27df1006f6037a |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f68805b4848190b75da14996d52a38 |
completed | May 2, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f68609c0b08190a8e1238a4d97c270 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 21, 2026, 7:43 p.m.