Triple
T12831398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA transit zone |
E306794
|
entity |
| Predicate | usedToDifferentiate |
P6335
|
FINISHED |
| Object | inner suburban areas |
—
|
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: inner suburban areas | Statement: [SEPTA transit zone, usedToDifferentiate, inner suburban areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToDifferentiate Context triple: [SEPTA transit zone, usedToDifferentiate, inner suburban areas]
-
A.
differentiatesInto
Indicates that one entity develops or transforms into another, typically representing a change in type, state, or specialization.
-
B.
differentiatedFrom
chosen
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
-
C.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
D.
usedToExplain
Indicates that one entity serves as an explanation or clarification for another entity.
-
E.
distinction
Indicates that one entity is recognized, treated, or classified as different or separate from another.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9714208f881908f7f8a921362909a |
completed | April 10, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69d96fa08cd481909a946046ba63809f |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:34 p.m.