Triple
T10456847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thai–Lao Friendship Bridge |
E246571
|
entity |
| Predicate | roadWidth |
P94146
|
FINISHED |
| Object | 11.0 m |
—
|
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: 11.0 m | Statement: [Thai–Lao Friendship Bridge, roadWidth, 11.0 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadWidth Context triple: [Thai–Lao Friendship Bridge, roadWidth, 11.0 m]
-
A.
trackWidth
Indicates the lateral distance between two parallel tracks or wheels, typically measured from center to center.
-
B.
roadLength
Indicates the measured distance or extent of a road, typically expressed in units of length.
-
C.
footpathWidth
Indicates the measured or designated width of a footpath in the context of a spatial or infrastructural relationship.
-
D.
roadFeature
Indicates that an entity is a specific physical or functional characteristic associated with a road, such as its structure, markings, or related infrastructure.
-
E.
roadType
Indicates the classification or category of a road based on its functional or physical characteristics.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe498a808190b88530f0221df4a6 |
completed | April 7, 2026, 12:53 p.m. |
| PD | Predicate disambiguation | batch_69d4fb7d353c8190a73f439a956c7606 |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:18 p.m.