Triple
T24829120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwood, New Jersey |
E621280
|
entity |
| Predicate | hasLocalEMS |
P90151
|
FINISHED |
| Object | Norwood Volunteer Ambulance Corps |
—
|
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: Norwood Volunteer Ambulance Corps | Statement: [Norwood, New Jersey, hasLocalEMS, Norwood Volunteer Ambulance Corps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalEMS Context triple: [Norwood, New Jersey, hasLocalEMS, Norwood Volunteer Ambulance Corps]
-
A.
hasLocalSupport
Indicates that an entity receives backing, endorsement, or assistance from people or organizations within its immediate geographic or community area.
-
B.
hasPostalAgency
Indicates that one entity operates, hosts, or is served by a postal agency associated with another entity.
-
C.
hasLastMileConnectivity
Indicates that there is transportation or service infrastructure available to cover the final segment between a main network or hub and the end user or destination.
-
D.
hasPostalHub
Indicates that one entity serves as the primary postal processing or distribution center for another entity.
-
E.
hasEmergencyServiceProvider
chosen
Indicates that an entity is associated with or served by a specific emergency service provider (such as police, fire, or medical services).
- 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:09 a.m.