Triple
T25140350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hasbrouck Heights, New Jersey |
E629784
|
entity |
| Predicate | hasVolunteerEmergencyServices |
P49934
|
FINISHED |
| Object |
Hasbrouck Heights Ambulance or Rescue Squad
Hasbrouck Heights Ambulance or Rescue Squad is a volunteer emergency medical services organization serving the community of Hasbrouck Heights, New Jersey.
|
E1668219
|
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: Hasbrouck Heights Ambulance or Rescue Squad | Statement: [Hasbrouck Heights, New Jersey, hasVolunteerEmergencyServices, Hasbrouck Heights Ambulance or Rescue Squad]
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: Hasbrouck Heights Ambulance or Rescue Squad Triple: [Hasbrouck Heights, New Jersey, hasVolunteerEmergencyServices, Hasbrouck Heights Ambulance or Rescue Squad]
Generated description
Hasbrouck Heights Ambulance or Rescue Squad is a volunteer emergency medical services organization serving the community of Hasbrouck Heights, New Jersey.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVolunteerEmergencyServices Context triple: [Hasbrouck Heights, New Jersey, hasVolunteerEmergencyServices, Hasbrouck Heights Ambulance or Rescue Squad]
-
A.
hasEmergencyServices
Indicates that the subject provides or is equipped with emergency response services (such as police, fire, or medical assistance).
-
B.
hasEmergencyServiceProvider
Indicates that an entity is associated with or served by a specific emergency service provider (such as police, fire, or medical services).
-
C.
hasVolunteerRescueSquad
chosen
Indicates that an entity is served or supported by a volunteer-based rescue or emergency response squad.
-
D.
hasFireRescueService
Indicates that an entity is served by, or responsible for providing, a fire and rescue service.
-
E.
hasVolunteerPersonnelFrom
Indicates that an entity receives or utilizes volunteer personnel supplied by another entity or source.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f497bc12b881908fe3386c66252bf6 |
completed | May 1, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a105d02862081909e976d06aa19f528 |
completed | May 22, 2026, 1:41 p.m. |
| NEDg | Description generation | batch_6a105df4d07881909cb98f27deeb0adb |
completed | May 22, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a105f44a8408190b02fe5f557ea43c1 |
completed | May 22, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69f49366e8d08190adb4b71fe3a14683 |
completed | May 1, 2026, 11:49 a.m. |
Created at: April 18, 2026, 6:29 a.m.