Triple
T4289586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahrain International Airport |
E97354
|
entity |
| Predicate | hasExpansionProjects |
P50445
|
FINISHED |
| Object | terminal expansion |
—
|
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: terminal expansion | Statement: [Bahrain International Airport, hasExpansionProjects, terminal expansion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExpansionProjects Context triple: [Bahrain International Airport, hasExpansionProjects, terminal expansion]
-
A.
expansionProject
chosen
Indicates a project whose primary purpose is to enlarge, extend, or increase the capacity, scope, or reach of something.
-
B.
hasExpansion
Indicates that one entity serves as a larger, extended, or elaborated form of another entity.
-
C.
expansionStatus
Indicates the current state or phase of growth, enlargement, or extension of something relative to its previous or intended size or scope.
-
D.
hasProject
Indicates that an entity is associated with or responsible for a particular project.
-
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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35061f5448190b3356b29a9129160 |
completed | March 12, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69b347fc4c0c8190a7fcd814e27308a5 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:08 p.m.