Triple
T2264691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manila Bay |
E50116
|
entity |
| Predicate | hasLandReclamationProject |
P16193
|
FINISHED |
| Object | Manila Bay reclamation projects |
—
|
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: Manila Bay reclamation projects | Statement: [Manila Bay, hasLandReclamationProject, Manila Bay reclamation projects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLandReclamationProject Context triple: [Manila Bay, hasLandReclamationProject, Manila Bay reclamation projects]
-
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.
hasHydroelectricProject
Indicates that an entity is associated with, operates, or contains a hydroelectric power generation project.
-
C.
hasArchaeologicalProject
Indicates that an entity is associated with or involved in a specific archaeological project.
-
D.
hasReconstructionWork
Indicates that an entity is undergoing, has undergone, or is associated with reconstruction or restoration work.
-
E.
hasDemolitionOrDestruction
Indicates that one entity causes, undergoes, or is associated with the demolition or destruction of another entity.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc2ea65288190bc8644a07a11dfa9 |
completed | March 7, 2026, 6:17 a.m. |
| PD | Predicate disambiguation | batch_69abbdb592588190ac1ef5e8c54575b1 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.