Triple
T16046464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HSL 4 |
E389232
|
entity |
| Predicate | hasFullName |
P16
|
FINISHED |
| Object | HogeSnelheidsLijn 4 |
E113440
|
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: HogeSnelheidsLijn 4 | Statement: [HSL 4, hasFullName, HogeSnelheidsLijn 4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HogeSnelheidsLijn 4 Context triple: [HSL 4, hasFullName, HogeSnelheidsLijn 4]
-
A.
Hogesnelheidslijn Zuid
Hogesnelheidslijn Zuid is a Dutch high-speed railway line connecting the Randstad region with Belgium and beyond, designed for trains operating at up to 300 km/h.
-
B.
HSL-Zuid (high-speed line, via nearby connections)
chosen
HSL-Zuid is the Dutch high-speed railway line connecting the Randstad region with Belgium and the broader European high-speed rail network.
-
C.
Line 4
Line 4 is a route of Mexico City’s Metrobús bus rapid transit system that serves key corridors with dedicated lanes and high-capacity articulated buses.
-
D.
Line 4
Line 4 is a major line of the Santiago Metro in Chile, serving key residential and commercial areas in the southeastern part of the city.
-
E.
Line 4
Line 4 is one of the main north–south lines of the Paris Métro, known for serving central Paris and connecting key railway stations and neighborhoods.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835dd9a0819087e362cf5770232a |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbdbcf248190b7122d61d857e806 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 10, 2026, 4:56 a.m.