Triple
T13382495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orana |
E319350
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nevertire |
E360088
|
NE FINISHED |
How this triple was built (2 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: Nevertire | Statement: [Orana, contains, Nevertire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevertire Context triple: [Orana, contains, Nevertire]
-
A.
Nevertire
chosen
Nevertire is a small rural village in western New South Wales, Australia, known as a junction point for regional roads and rail in an agricultural area.
-
B.
Indestructible
"Indestructible" is a 2003 punk rock album by the American band Rancid, known for its melodic hooks and politically charged lyrics.
-
C.
Indestructible
"Indestructible" is a 2008 heavy metal album by the American band Disturbed, known for its aggressive sound and themes of resilience and inner strength.
-
D.
Heed
Heed is the fiercely loyal yet conflicted protagonist of Toni Morrison’s novel "Love," whose lifelong bond and rivalry with her friend Christine drive much of the story’s emotional and thematic tension.
-
E.
Count of Nevers
The Count of Nevers was a medieval French noble title associated with the lordship and later county centered on the town of Nevers in central France.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce80158819082156eaeaeda3bd8 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268b09808190b4ffd1db72e1f1f1 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.