Triple
T3789019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEPTA Route 34 |
E89598
|
entity |
| Predicate | servesNeighborhood |
P82
|
FINISHED |
| Object | Cedar Park |
E117291
|
NE 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: Cedar Park | Statement: [SEPTA Route 34, servesNeighborhood, Cedar Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedar Park Context triple: [SEPTA Route 34, servesNeighborhood, Cedar Park]
-
A.
Cedar Park
chosen
Cedar Park is a residential neighborhood in West Philadelphia known for its historic Victorian homes, diverse community, and proximity to the University of Pennsylvania.
-
B.
Duncanville
Duncanville is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas.
-
C.
Balch Springs
Balch Springs is a suburban city in the Dallas–Fort Worth metropolitan area in northeastern Texas.
-
D.
Pflugerville, Texas
Pflugerville, Texas is a rapidly growing suburban city in the Austin metropolitan area known for its family-friendly neighborhoods, schools, and recreational amenities.
-
E.
Coppell
Coppell is a suburban city in the Dallas–Fort Worth metropolitan area known for its affluent residential neighborhoods and strong public school system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69aed9597d6881909b6ee3b9de859223 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aee76570b481909c26d47a3251b180 |
completed | March 9, 2026, 3:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4f05031cc8190825105f77dd76438 |
completed | March 14, 2026, 5:21 a.m. |
Created at: March 9, 2026, 3:14 p.m.