Triple
T1299154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strait of Hormuz |
E27721
|
entity |
| Predicate | narrowestWidth |
P12977
|
FINISHED |
| Object | about 33 kilometers |
—
|
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: about 33 kilometers | Statement: [Strait of Hormuz, narrowestWidth, about 33 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrowestWidth Context triple: [Strait of Hormuz, narrowestWidth, about 33 kilometers]
-
A.
minimumWidth
chosen
Indicates that there is a specified smallest allowable or required width for something in the relationship.
-
B.
typicalWidth
Indicates the usual or characteristic width associated with an entity, as opposed to an exact or measured width in a specific instance.
-
C.
maximumChannelWidth
Indicates the greatest allowable or observed width of a channel in the given context.
-
D.
hasApproximateMaximumWidth
Indicates that an entity’s maximum width is known only approximately, rather than as an exact value.
-
E.
width
Indicates the measurement of how wide an entity is, typically the extent of its horizontal dimension from side to side.
- 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_69a496d6682881909ba658f1c1e0e2b0 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c3bb3a9c81909db2ad91defd87b6 |
completed | March 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69a4bee64d908190b6a9bb479959d523 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.