GRO
E873286
GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
All labels observed (1)
| Label | Occurrences |
|---|---|
| GRO canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10570721 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GRO Context triple: [Grove Street station (Newark Light Rail), hasStationCode, GRO]
-
A.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
B.
GRO
GRO is the commonly used acronym for the Compton Gamma Ray Observatory, a NASA space telescope that studied high-energy gamma-ray sources in the universe.
-
C.
GROM
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
D.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
E.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GRO Target entity description: GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
-
A.
GRO
GRO is the FAA airport code assigned to Rota International Airport, a public airport serving the island of Rota in the Northern Mariana Islands.
-
B.
GRO
GRO is the commonly used acronym for the Compton Gamma Ray Observatory, a NASA space telescope that studied high-energy gamma-ray sources in the universe.
-
C.
GROM
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
D.
GRA
GRA is the ring-shaped orbital motorway encircling Rome, Italy, serving as a major traffic artery for the metropolitan area.
-
E.
GRR
GRR is the IATA airport code for Gerald R. Ford International Airport, the primary commercial airport serving Grand Rapids, Michigan.
- F. None of above. chosen
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
light rail station
ⓘ
station code ⓘ |
| appliesTo | light rail station ⓘ |
| identifies | Grove Street station NERFINISHED ⓘ |
| locatedInCity |
Newark
NERFINISHED
ⓘ
Newark NERFINISHED ⓘ |
| locatedInCountry |
United States of America
ⓘ
surface form:
United States
United States of America ⓘ
surface form:
United States
|
| locatedInState |
New Jersey
NERFINISHED
ⓘ
New Jersey NERFINISHED ⓘ |
| locatedInSystem | Newark Light Rail NERFINISHED ⓘ |
| partOf | Newark Light Rail NERFINISHED ⓘ |
| stationCode | GRO NERFINISHED ⓘ |
| usedBy | Newark Light Rail NERFINISHED ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: GRO Description of subject: GRO is the station code used to identify Grove Street station on the Newark Light Rail system in New Jersey.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.