Triple
T7626479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glen Waverley line |
E172645
|
entity |
| Predicate | servesSuburb |
P82
|
FINISHED |
| Object |
Darling
Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
|
E677720
|
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: Darling | Statement: [Glen Waverley line, servesSuburb, Darling]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darling Context triple: [Glen Waverley line, servesSuburb, Darling]
-
A.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
-
B.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
C.
Darling
"Darling" is a 2010 Telugu romantic comedy film starring Prabhas, known for its lighthearted love story and popular music.
-
D.
Oh! Darling
"Oh! Darling" is a soulful, blues-influenced love song by the Beatles, written by Paul McCartney and featured on their 1969 album Abbey Road.
-
E.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
- 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: Darling Triple: [Glen Waverley line, servesSuburb, Darling]
Generated description
Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Darling Target entity description: Darling is a residential suburb in Melbourne, Victoria, known for its local train station on the Glen Waverley railway line and its proximity to the city.
-
A.
Darling
Darling is the kind, affectionate human owner of Lady in Disney's animated film "Lady and the Tramp."
-
B.
Darling
Darling is a 1965 British drama film directed by John Schlesinger, known for its incisive portrayal of a young woman's rise in London's high society and for winning multiple Academy Awards.
-
C.
Darling
"Darling" is a 2010 Telugu romantic comedy film starring Prabhas, known for its lighthearted love story and popular music.
-
D.
Oh! Darling
"Oh! Darling" is a soulful, blues-influenced love song by the Beatles, written by Paul McCartney and featured on their 1969 album Abbey Road.
-
E.
Listen, Darling
Listen, Darling is a 1938 American musical comedy film best known for featuring a young Judy Garland in an early starring role.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa8150ac8190908aec411b0f4e50 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870a518f48190a4bba3657a7844f4 |
completed | March 29, 2026, 12:21 a.m. |
| NEDg | Description generation | batch_69c87251cb2c81909f74c4467c0fc682 |
completed | March 29, 2026, 12:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8740d6be4819087db857eec539a49 |
completed | March 29, 2026, 12:36 a.m. |
Created at: March 27, 2026, 3:56 p.m.