Triple
T7006598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ewing Township |
E162471
|
entity |
| Predicate | directionFromTrenton |
P73548
|
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: [Ewing Township, directionFromTrenton, northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromTrenton Context triple: [Ewing Township, directionFromTrenton, northwest]
-
A.
directionFromPittsburgh
Indicates the cardinal or relative compass direction in which one entity is located from Pittsburgh.
-
B.
directionFromBaltimore
Indicates the compass direction or relative bearing of one place or object when measured starting from Baltimore.
-
C.
locatedInDirectionFromNYC
Indicates that one place is situated in a specified compass direction relative to New York City.
-
D.
directionFromBoston
Indicates the compass direction or bearing of one location as measured outward from Boston.
-
E.
transportDirection
Indicates the directional flow or route along which something is transported from an origin toward a destination.
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc35cb848190a839919021efce81 |
completed | March 27, 2026, 7:36 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c575f081908b43d95d1d99b1a4 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:33 p.m.