Triple
T9219060
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paris–Cherbourg railway |
E221312
|
entity |
| Predicate | maximumSpeedCategory |
P72264
|
FINISHED |
| Object | conventional main line speeds |
—
|
LITERAL 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: conventional main line speeds | Statement: [Paris–Cherbourg railway, maximumSpeedCategory, conventional main line speeds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumSpeedCategory Context triple: [Paris–Cherbourg railway, maximumSpeedCategory, conventional main line speeds]
-
A.
maxSpeed
Indicates the greatest possible speed at which an entity can move or operate under specified conditions.
-
B.
category1UpperBound_mph
Indicates the maximum speed limit, in miles per hour, that defines the upper boundary of category 1.
-
C.
category3UpperBound_mph
Indicates the maximum wind speed in miles per hour that defines the upper limit of category 3 within a categorized scale.
-
D.
category4UpperBound_mph
Indicates the maximum wind speed in miles per hour that defines the upper limit of Category 4 in a classification scale.
-
E.
hasSpeedLimitCategory
chosen
Indicates that an entity is associated with a specific category or classification of speed limit.
- F. None of above.
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_69ca83eae42c8190a0ea9e040710a277 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccda730f688190b64b2cc8c4898ac3 |
completed | April 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69cc660ce23c81909c7bbe10f4a05f36 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:27 p.m.