Triple
T13842030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fresnes-sur-Marne |
E332681
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Trilbardou |
E332695
|
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: Trilbardou | Statement: [Fresnes-sur-Marne, sharesBorderWith, Trilbardou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trilbardou Context triple: [Fresnes-sur-Marne, sharesBorderWith, Trilbardou]
-
A.
Trilbardou
chosen
Trilbardou is a small French commune located in the Seine-et-Marne department in the Île-de-France region in north-central France.
-
B.
Barradères
Barradères is a coastal commune and fishing town in Haiti located within the Nippes Department.
-
C.
Trilistnika
Trilistnika is one of Bulgaria’s Seven Rila Lakes, a high-altitude glacial lake in the Rila Mountains known for its distinctive clover-like shape.
-
D.
Trouessart
Trouessart is a French surname most notably borne by zoologist Oskar Trouessart, known for his work in mammalogy and taxonomy.
-
E.
Trull
Trull is a village and civil parish in Somerset, England, situated just southwest of the town of Taunton.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02afce788190a74dce4e6a3569fa |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8f630d081909439e1cdc5d60430 |
completed | May 3, 2026, 9:07 p.m. |
Created at: April 9, 2026, 10:13 p.m.