Triple
T14984259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Plain |
E373660
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | La Plaine |
E120675
|
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: La Plaine | Statement: [The Plain, alternativeName, La Plaine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Plaine Context triple: [The Plain, alternativeName, La Plaine]
-
A.
La Plaine
chosen
La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
-
B.
The Plateau
The Plateau is a trendy, artsy neighborhood in Montreal known for its colorful row houses, vibrant street art, and lively café and nightlife scene.
-
C.
Mille Plateaux
Mille Plateaux is an experimental electronic music label known for its influential releases in glitch, ambient, and avant-garde sound art.
-
D.
Plaine Vallée
Plaine Vallée is an intercommunal structure in the northern suburbs of Paris, France, grouping several communes for cooperative local administration and services.
-
E.
Plaine de France
Plaine de France is a fertile agricultural plain and historical region in northern Île-de-France, just north of Paris.
- 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_69d85ccc84388190aa151e5173370c8d |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6ff4a7c8190ab7554f3a1a09b67 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bf136e88190b3d812f50233c640 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:52 a.m.