Triple
T28021394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Norristown |
E707696
|
entity |
| Predicate | directionFromPhiladelphia |
P180706
|
FINISHED |
| Object | northwest |
—
|
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: northwest | Statement: [Municipality of Norristown, directionFromPhiladelphia, northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromPhiladelphia Context triple: [Municipality of Norristown, directionFromPhiladelphia, northwest]
-
A.
directionFromPittsburgh
Indicates the cardinal or relative compass direction in which one entity is located from Pittsburgh.
-
B.
directionFromTrenton
Indicates the cardinal or relative compass direction in which one entity is located from Trenton.
-
C.
directionFromWashingtonDC
Indicates the cardinal or relative compass direction of one place or object as measured from Washington, D.C.
-
D.
directionFromNewYork
Indicates the cardinal or relative compass direction of an entity or location as measured from New York.
-
E.
directionFromColumbus
Indicates the compass direction in which one location lies when measured from Columbus.
- 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_69ef96baf3a881909a2b63844185dddd |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f74c70fd248190a9d5543afcb08211 |
completed | May 3, 2026, 1:24 p.m. |
| PD | Predicate disambiguation | batch_69f7478e3b548190a51d5d436e2bb036 |
completed | May 3, 2026, 1:03 p.m. |
| PDg | Predicate description generation | batch_69f74c6fa6548190b03935f65429a24e |
completed | May 3, 2026, 1:23 p.m. |
Created at: April 27, 2026, 8:10 p.m.