Triple
T24829120
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norwood, New Jersey |
E621280
|
entity |
| Predicate | hasLocalEMS |
P90151
|
FINISHED |
| Object |
Norwood Volunteer Ambulance Corps
Norwood Volunteer Ambulance Corps is a community-based, volunteer emergency medical services organization that provides pre-hospital care and ambulance transport for residents of Norwood, New Jersey.
|
E1655495
|
NE FINISHED |
How this triple was built (3 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]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Norwood Volunteer Ambulance Corps Triple: [Norwood, New Jersey, hasLocalEMS, Norwood Volunteer Ambulance Corps]
Generated description
Norwood Volunteer Ambulance Corps is a community-based, volunteer emergency medical services organization that provides pre-hospital care and ambulance transport for residents of Norwood, New Jersey.
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 (6 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a1033118da4819094755a865c84d47e |
completed | May 22, 2026, 10:42 a.m. |
| NEDg | Description generation | batch_6a1033be69f88190988f54e89df5438a |
completed | May 22, 2026, 10:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10346cdcac8190865eb3c1b86c9c2c |
completed | May 22, 2026, 10:48 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:09 a.m.