Triple
T14466502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine Antarctic research stations network |
E358723
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Cámara Base |
E75319
|
NE 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: Cámara Base | Statement: [Argentine Antarctic research stations network, hasPart, Cámara Base]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cámara Base Context triple: [Argentine Antarctic research stations network, hasPart, Cámara Base]
-
A.
Cámara Base
chosen
Cámara Base is an Argentine research station in Antarctica that operates primarily during the austral summer to support scientific and logistical activities in the region.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
D.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
E.
Megacam
Megacam is a wide-field optical imaging camera used on large ground-based telescopes for deep, high-resolution astronomical surveys.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de91f6d4c08190a12e9a5901ee3508 |
completed | April 14, 2026, 7:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6499c7188190a79411b471cfa7d4 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:19 a.m.