Triple
T12230137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | territory of Chile |
E291451
|
entity |
| Predicate | hasMainlandLengthApproxKm |
P103918
|
FINISHED |
| Object | 4270 |
—
|
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: 4270 | Statement: [territory of Chile, hasMainlandLengthApproxKm, 4270]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainlandLengthApproxKm Context triple: [territory of Chile, hasMainlandLengthApproxKm, 4270]
-
A.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
B.
hasCoastlineLengthApprox
Indicates an approximate measurement of the total length of an entity’s coastline.
-
C.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
D.
hasMainStraightLengthKm
Indicates the length in kilometers of the primary or main straight segment associated with an entity.
-
E.
isMainlandTerritoryOf
Indicates that a territory constitutes the primary continental landmass belonging to a particular country or sovereign entity.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d92468052c819090546f36d009a64f |
completed | April 10, 2026, 4:25 p.m. |
Created at: April 8, 2026, 9:51 p.m.