Triple
T14819188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Mogadishu |
E348398
|
entity |
| Predicate | hasImprovementProject |
P111167
|
FINISHED |
| Object | modernization of container terminal |
—
|
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: modernization of container terminal | Statement: [Port of Mogadishu, hasImprovementProject, modernization of container terminal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImprovementProject Context triple: [Port of Mogadishu, hasImprovementProject, modernization of container terminal]
-
A.
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.
-
B.
hasUpgradeProject
chosen
Indicates that an entity is associated with a project whose purpose is to improve, enhance, or modernize that entity.
-
C.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
D.
hasPlannedProjects
Indicates that an entity is associated with projects that are intended or scheduled to be carried out in the future.
-
E.
hasProjectIn
Indicates that an entity is involved with or associated with a project that takes place within a specified location or context.
- 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe4cf38819090f25ef045351d5d |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.