Triple
T14007906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isla de Pascua Airport |
E336997
|
entity |
| Predicate | distanceToMainlandRole |
P112127
|
FINISHED |
| Object | primary long‑haul link to Chilean mainland |
—
|
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: primary long‑haul link to Chilean mainland | Statement: [Isla de Pascua Airport, distanceToMainlandRole, primary long‑haul link to Chilean mainland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMainlandRole Context triple: [Isla de Pascua Airport, distanceToMainlandRole, primary long‑haul link to Chilean mainland]
-
A.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
B.
connectedToMainlandBy
Indicates that one landmass or area is physically linked to a mainland, typically via a bridge, causeway, or other continuous connection.
-
C.
distanceToContinentApproximate
Indicates an approximate measure of how far something is from a specified continent.
-
D.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
E.
hasMainlandLengthApproxKm
Indicates the approximate length of an entity’s mainland portion, measured in kilometers.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ed44f90819099ad08c09c066b56 |
completed | April 14, 2026, 12:11 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:19 p.m.