Triple
T22397741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilam Province |
E553678
|
entity |
| Predicate | borderLengthWithIraq |
P147499
|
FINISHED |
| Object | significant |
—
|
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: significant | Statement: [Ilam Province, borderLengthWithIraq, significant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthWithIraq Context triple: [Ilam Province, borderLengthWithIraq, significant]
-
A.
borderTypeWithIran
Indicates the type or nature of the border relationship that an entity has with Iran.
-
B.
borderTypeWithYemen
Indicates the type or nature of the border that exists between a given entity and Yemen.
-
C.
hasBorderLengthWithUSA
Indicates that the length of the land or maritime border shared between a given country or region and the USA has a specified measurement.
-
D.
borderTypeWithGulfOfAden
Indicates that an entity’s border is specifically characterized as adjoining or interacting with the Gulf of Aden.
-
E.
borderLengthWithFinland
Indicates the total length of the land or maritime border that an entity shares with Finland.
- F. None of above. chosen
Provenance (4 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15861ac248190a967f534feea0265 |
completed | April 29, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e73597b51c8190aeff27f4779b82f3 |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 8:46 p.m.