Triple
T7508626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuas |
E177456
|
entity |
| Predicate | landReclamationMethod |
P16193
|
FINISHED |
| Object | hydraulic fill |
—
|
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: hydraulic fill | Statement: [Tuas, landReclamationMethod, hydraulic fill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landReclamationMethod Context triple: [Tuas, landReclamationMethod, hydraulic fill]
-
A.
hasLandReclamation
chosen
Indicates that an entity has carried out, is involved in, or is characterized by the process of creating new land from oceans, rivers, or other water bodies.
-
B.
coastalProtection
Indicates measures or actions taken to preserve, defend, or stabilize coastal areas against erosion, flooding, or other marine-related impacts.
-
C.
dredgingPurpose
Indicates that an action or process of dredging is carried out for a specified purpose or intended use.
-
D.
shorelineDevelopment
Indicates the extent to which human-made structures or modifications have been built along a shoreline.
-
E.
drainageProject
Indicates that an entity is involved in or designated as a project focused on constructing, improving, or managing systems for removing excess surface or groundwater from an area.
- 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_69c69f276b108190af2cc790b6554544 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5b8ab5c8190828ee8d144068828 |
completed | March 27, 2026, 9:25 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d44e9481909813e073b194f6f4 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:45 p.m.