Triple
T12134662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thônes |
E289021
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Fier |
E269839
|
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: Fier | Statement: [Thônes, river, Fier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fier Context triple: [Thônes, river, Fier]
-
A.
Fier
Fier is a city in southwestern Albania that serves as an important industrial and administrative center near the ancient site of Apollonia.
-
B.
Fier
chosen
Fier is a river in southeastern France that serves as the main outflow of Lake Annecy and a tributary of the Rhône.
-
C.
Ferike
Ferike is a Hungarian given name, often used as a diminutive form of names like Ferenc or Frederika.
-
D.
Fainall
Fainall is a central, scheming antagonist in William Congreve’s Restoration comedy "The Way of the World," known for his manipulative and duplicitous nature.
-
E.
Fiura
Fiura is a malevolent female spirit from Chilote mythology, known for her grotesque appearance and for causing illness, misfortune, and enchantments to those who encounter her.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158c59e0819094d4522a107482b2 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68eab98819086a480a90312c3fe |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.