Triple
T8508337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrow (San Bernardino–Redlands) service |
E201390
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
Arrow
Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
|
E739505
|
NE FINISHED |
How this triple was built (4 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: Arrow | Statement: [Arrow (San Bernardino–Redlands) service, branding, Arrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arrow Context triple: [Arrow (San Bernardino–Redlands) service, branding, Arrow]
-
A.
Arrow
Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
-
B.
Arrow
Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
-
C.
Arrow
Arrow is a common English surname borne by various individuals, including the influential economist Kenneth Arrow.
-
D.
The Arrow
The Arrow is the student-run newspaper of Southeast Missouri State University, covering campus news, events, and student life.
-
E.
Hawkman
Hawkman is a DC Comics superhero known for his reincarnated warrior origins, Nth metal wings and weaponry, and long-standing membership in teams like the Justice Society of America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Arrow Triple: [Arrow (San Bernardino–Redlands) service, branding, Arrow]
Generated description
Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arrow Target entity description: Arrow is a regional passenger rail service brand used for trains operating between San Bernardino and Redlands in Southern California.
-
A.
Arrow
Arrow is the English translation of "Freccia," the nickname of the Italian World War II fighter aircraft Fiat G.50.
-
B.
Arrow
Arrow is a popular American superhero television series based on the DC Comics character Green Arrow, known for launching the interconnected "Arrowverse" franchise.
-
C.
Arrow
Arrow is a common English surname borne by various individuals, including the influential economist Kenneth Arrow.
-
D.
The Arrow
The Arrow is the student-run newspaper of Southeast Missouri State University, covering campus news, events, and student life.
-
E.
Hawkman
Hawkman is a DC Comics superhero known for his reincarnated warrior origins, Nth metal wings and weaponry, and long-standing membership in teams like the Justice Society of America.
- F. None of above. chosen
Provenance (5 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_69ca8320e5748190ac2c585a0bba8193 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5df74e8819086b1445cc907e371 |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e37b0548190908632fd167efac1 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce5245c69c8190a2cd9a23954872e5 |
completed | April 2, 2026, 11:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce52d5c264819098e20971a8093acf |
completed | April 2, 2026, 11:28 a.m. |
Created at: March 30, 2026, 6:15 p.m.