Triple
T9832977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christie station |
E239031
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Christie (unchanged) |
E246913
|
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: Christie (unchanged) | Statement: [Christie station, formerName, Christie (unchanged)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christie (unchanged) Context triple: [Christie station, formerName, Christie (unchanged)]
-
A.
Christie
chosen
Christie is a surname most prominently associated with English actress Gwendoline Christie, known for her roles in "Game of Thrones" and the "Star Wars" sequel trilogy.
-
B.
Dontchange
"Dontchange" is a soulful R&B ballad by Musiq Soulchild that celebrates unconditional love and acceptance in a romantic relationship.
-
C.
Same
Same is a town in northeastern Tanzania that serves as an administrative and commercial center near the Pare Mountains in the Kilimanjaro area.
-
D.
Constant
Constant is the surname of Eliphas Levi, the influential 19th-century French occultist and ceremonial magician.
-
E.
Constant
Constant Troyon was a 19th-century French painter associated with the Barbizon school, known for his landscapes and animal paintings.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb336bfc4819084f0d4d6d1867484 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1d5c448388190818e4cc5e3a42dfc |
completed | April 5, 2026, 3:23 a.m. |
Created at: March 30, 2026, 8:32 p.m.