Triple
T11500744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penang Bridge |
E272656
|
entity |
| Predicate | hasDailyTraffic |
P99819
|
FINISHED |
| Object | over 100,000 vehicles |
—
|
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: over 100,000 vehicles | Statement: [Penang Bridge, hasDailyTraffic, over 100,000 vehicles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDailyTraffic Context triple: [Penang Bridge, hasDailyTraffic, over 100,000 vehicles]
-
A.
hasDailyPassengerTraffic
Indicates the number of passengers that regularly use or pass through something (such as a station or route) each day.
-
B.
hasDailyUse
Indicates that something is used or occurs on a daily, regular basis.
-
C.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
D.
annualTraffic
Indicates the typical amount or volume of traffic associated with something over the course of a year.
-
E.
hasDailyEvent
Indicates that an entity is associated with an event that occurs every day.
- 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_69d6aae1b09881909ce2ded3fa0c14fa |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.