Triple
T26645187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isthmus of Kra region |
E668887
|
entity |
| Predicate | approximateMinimumWidthInKilometers |
P34512
|
FINISHED |
| Object | 44 |
—
|
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: 44 | Statement: [Isthmus of Kra region, approximateMinimumWidthInKilometers, 44]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateMinimumWidthInKilometers Context triple: [Isthmus of Kra region, approximateMinimumWidthInKilometers, 44]
-
A.
widthKilometres
chosen
Indicates the measurement of how wide something is, expressed in kilometres.
-
B.
typicalRangeMinimum_km
Indicates the minimum distance, in kilometers, that is typically observed or expected within a given range for the relationship or measurement in question.
-
C.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
-
D.
islandDiameter
Indicates the measured maximum distance across an island, typically between its two most widely separated points.
-
E.
averageDiameter
Indicates the mean value of the diameters of a set of objects or instances in the relationship.
- 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_69ee9d00eb5481908d6c6d0ada2f0c9a |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 27, 2026, 2:31 a.m.