Triple
T35580480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tung Chung Road |
E1028207
|
entity |
| Predicate | hasImprovementWork |
P25491
|
FINISHED |
| Object | road widening and realignment (early 2000s) |
—
|
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: road widening and realignment (early 2000s) | Statement: [Tung Chung Road, hasImprovementWork, road widening and realignment (early 2000s)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprovementWork Context triple: [Tung Chung Road, hasImprovementWork, road widening and realignment (early 2000s)]
-
A.
hasImproved
Indicates that an entity’s state, quality, or performance has become better compared to a previous point in time.
-
B.
hasImprovementProgram
Indicates that an entity is associated with, participates in, or is covered by a program specifically designed to improve its performance, condition, or quality.
-
C.
isUnimproved
Indicates that something remains in its original or undeveloped state, without enhancements, modifications, or upgrades.
-
D.
haveReconstructionWork
chosen
Indicates that an entity is undergoing or is associated with reconstruction or restoration work.
-
E.
improvesOn
Indicates that one entity enhances, refines, or performs better than another entity, typically by addressing its limitations or increasing its effectiveness.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.