Triple
T19063808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saudi Arabia–Bahrain border |
E466602
|
entity |
| Predicate | seaAreaUsedFor |
P96371
|
FINISHED |
| Object | shipping routes in the Persian Gulf |
—
|
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: shipping routes in the Persian Gulf | Statement: [Saudi Arabia–Bahrain border, seaAreaUsedFor, shipping routes in the Persian Gulf]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: seaAreaUsedFor Context triple: [Saudi Arabia–Bahrain border, seaAreaUsedFor, shipping routes in the Persian Gulf]
-
A.
seaAreaUsed
chosen
Indicates that a particular sea area is utilized or occupied for a specific purpose or activity.
-
B.
marineAreaShare
Indicates the proportion of a larger marine area that is occupied, controlled, or otherwise attributed to a specific entity.
-
C.
seaAreaDesignation
Indicates the specific legal or administrative sea area classification that has been assigned to a given marine region.
-
D.
seaAreaIncludes
Indicates that a given sea area geographically contains or encompasses another specified area or feature.
-
E.
seaAreaCode
Indicates the specific coded maritime or sea area associated with or relevant to an 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_69d8dd040fb881909af2a964f65ad208 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e196deac8190ad0406c616197e0b |
completed | April 20, 2026, 8:19 a.m. |
| PD | Predicate disambiguation | batch_69e4b99f602881909eeb9c780597e0e6 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:03 p.m.