Triple
T14642649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M5 motorway near Avonmouth |
E343764
|
entity |
| Predicate | isMajorBottleneckFor |
P115184
|
FINISHED |
| Object | holiday traffic to South West England |
—
|
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: holiday traffic to South West England | Statement: [M5 motorway near Avonmouth, isMajorBottleneckFor, holiday traffic to South West England]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMajorBottleneckFor Context triple: [M5 motorway near Avonmouth, isMajorBottleneckFor, holiday traffic to South West England]
-
A.
isMajorFastAlongWith
Indicates that an entity is a primary or significant fast-moving element occurring together or in coordination with another entity.
-
B.
isMajorSeeWithin
Indicates that one entity is the primary or most significant location or area encompassed within the boundaries of another entity.
-
C.
isMajor
Indicates that an entity holds primary or greater significance, importance, or rank relative to others in a given context.
-
D.
isMajorBaseIn
Indicates that a location serves as a primary or central base of operations within a specified area or organization.
-
E.
isMajorHitIn
Indicates that a work (such as a song, film, or product) achieved major commercial success or popularity within a specified market, region, or context.
- F. None of above. chosen
Provenance (4 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4e80aa48190884bab800f357106 |
completed | April 14, 2026, 9:43 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69de716c17cc8190aeb85296abee85a7 |
completed | April 14, 2026, 4:55 p.m. |
Created at: April 10, 2026, 1:26 a.m.