Triple
T4201732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Z 20500 |
E86081
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object | Transilien |
E37920
|
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: Transilien | Statement: [Z 20500, usedBy, Transilien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Transilien Context triple: [Z 20500, usedBy, Transilien]
-
A.
Transilien
chosen
Transilien is the suburban and regional rail network operated by SNCF that serves the Île-de-France (Greater Paris) area.
-
B.
Transilien Line U
Transilien Line U is a Paris suburban rail line operated by SNCF that connects La Défense to La Verrière via key stations such as Versailles-Chantiers.
-
C.
Transilien line D
Transilien line D is a major commuter rail line in the Paris regional network, connecting northern and southern suburbs through central Paris as part of the Île-de-France public transport system.
-
D.
Transilien Line R
Transilien Line R is a suburban rail line in the Île-de-France region serving southeastern Paris and its outer suburbs as part of the Transilien network operated by SNCF.
-
E.
Transilien Line N
Transilien Line N is a suburban rail line in the Île-de-France region operated by SNCF, connecting Paris-Montparnasse to several southwestern suburbs and towns including Versailles and Rambouillet.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af037da30481908106b27a88d59140 |
completed | March 9, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b58a173a78819094915f63c8411602 |
completed | March 14, 2026, 4:17 p.m. |
Created at: March 9, 2026, 3:49 p.m.