Triple
T3276490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shatt al-Arab |
E68769
|
entity |
| Predicate | borderSectionDefinedBy |
P14046
|
FINISHED |
| Object | thalweg principle (in parts) |
—
|
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: thalweg principle (in parts) | Statement: [Shatt al-Arab, borderSectionDefinedBy, thalweg principle (in parts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderSectionDefinedBy Context triple: [Shatt al-Arab, borderSectionDefinedBy, thalweg principle (in parts)]
-
A.
borderSectionName
Indicates the specific named segment or portion of a border that is associated with or applies to an entity.
-
B.
borderDefinedBy
chosen
Indicates that the boundary or limit of one entity is determined, shaped, or delineated by another entity.
-
C.
borderRegion
Indicates a region that lies along or near the boundary separating two distinct geographic or political areas.
-
D.
boundaryBetween
Indicates that something serves as a dividing line or limit separating two distinct regions, areas, or entities.
-
E.
borderRegionOf
Indicates that one region lies along, touches, or forms part of the boundary of another region.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.