Triple
T21344012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A3 motorway |
E526278
|
entity |
| Predicate | passesNear |
P416
|
FINISHED |
| Object | Bondy |
—
|
NE NERFINISHED |
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: Bondy | Statement: [A3 motorway, passesNear, Bondy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bondy Context triple: [A3 motorway, passesNear, Bondy]
-
A.
Bondy
chosen
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Bondo Nekat
Bondo Nekat is an alternative name for Bonek, the passionate and often fiercely loyal supporter movement of the Indonesian football club Persebaya Surabaya.
-
C.
Bondai
Bondai is a tributary stream of the Sarca River in northern Italy, contributing to the river system that ultimately feeds Lake Garda.
-
D.
Bondojito
Bondojito is a station on Mexico City’s Metro system, serving passengers on Line 4 in the northern part of the city.
-
E.
Bedjond
Bedjond is a dialect of the Sara language spoken by communities in southern Chad.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51c33048190ab27cede74ef798c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8a85274f481909e699b390bed9350 |
completed | April 22, 2026, 10:52 a.m. |
Created at: April 16, 2026, 4:44 p.m.