Triple
T6301338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq–Saudi Arabia border area |
E141260
|
entity |
| Predicate | borderLengthApprox |
P25800
|
FINISHED |
| Object | 811 km |
—
|
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: 811 km | Statement: [Iraq–Saudi Arabia border area, borderLengthApprox, 811 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: borderLengthApprox Context triple: [Iraq–Saudi Arabia border area, borderLengthApprox, 811 km]
-
A.
borderSectionLength
Indicates the measured length of a specific segment of a shared border between two geographic or administrative areas.
-
B.
approximateLengthInMeters
chosen
Indicates the estimated or roughly measured length of something expressed in meters.
-
C.
hasBorderLengthCharacteristic
Indicates that a border is associated with a specific length-related property or characteristic.
-
D.
trailLengthApprox
Indicates an approximate measurement of the total length of a trail.
-
E.
borderPoint
Indicates a point that lies on the boundary between two regions or entities.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645bb41481909294b06e2b3e1845 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.