Triple
T5828731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris Métro Line 9 |
E129292
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object | République |
E214676
|
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: République | Statement: [Paris Métro Line 9, station, République]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: République Context triple: [Paris Métro Line 9, station, République]
-
A.
République
chosen
République is a major public square and busy transport hub in central Paris, known for its large statue of Marianne and frequent political gatherings.
-
B.
República
República is a central neighborhood in São Paulo, Brazil, known for its historic square, diverse urban life, and concentration of commercial and cultural activities.
-
C.
French Republic
The French Republic is the modern democratic nation-state of France, founded on principles of liberty, equality, and fraternity and governed by republican institutions.
-
D.
Republic
Republic is Plato's foundational philosophical dialogue that explores justice, the ideal state, and the nature of reality and knowledge.
-
E.
Republic
Republic is the commonly used short name and nickname for Sacramento Republic FC, a professional soccer club based in Sacramento, California.
- 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_69c00849d55481908b4f9f5543e0bf6d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03467dfe48190b51757b33681bc20 |
completed | March 22, 2026, 6:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09863be3c8190bba357bf64e22917 |
completed | March 23, 2026, 1:33 a.m. |
Created at: March 22, 2026, 3:53 p.m.