Triple
T675680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orly 4 |
E13071
|
entity |
| Predicate | connectedBy |
P37
|
FINISHED |
| Object | Orlyval |
E14727
|
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: Orlyval | Statement: [Orly 4, connectedBy, Orlyval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orlyval Context triple: [Orly 4, connectedBy, Orlyval]
-
A.
Orlyval
chosen
Orlyval is an automated light rail shuttle service in the Paris region that links Orly Airport to the broader RER and metro network.
-
B.
Montreal Metro
The Montreal Metro is the rubber-tired rapid transit system serving the city of Montreal and its surrounding areas, known for its extensive underground network and distinctively designed stations.
-
C.
Pink Line
The Pink Line is a rapid transit route in Chicago's "L" system that runs between the Loop and the city's West Side neighborhoods.
-
D.
Paris Métro Line 14
Paris Métro Line 14 is a fully automated, high-capacity rapid transit line in Paris that runs through the city center and connects major railway stations and business districts.
-
E.
Metrorail
Metrorail is the rapid transit system serving the Washington, D.C. metropolitan area, operated by the Washington Metropolitan Area Transit Authority (WMATA).
- 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_69a4933d3bf88190972041cd8cf143b9 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4a0266e7c8190a94c4b4b761c59f4 |
completed | March 1, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a65e3575388190a674df54e086fe2f |
completed | March 3, 2026, 4:06 a.m. |
Created at: March 1, 2026, 7:36 p.m.