Triple
T253616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elqui River |
E5389
|
entity |
| Predicate | flowsPast |
P4996
|
FINISHED |
| Object |
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
|
E34116
|
NE FINISHED |
How this triple was built (4 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: Paihuano | Statement: [Elqui River, flowsPast, Paihuano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paihuano Context triple: [Elqui River, flowsPast, Paihuano]
-
A.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Kinmen
Kinmen is a group of strategically located islands governed by Taiwan (Republic of China), situated just off the coast of mainland China and known for their military history and cross-strait significance.
-
D.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
E.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Paihuano Triple: [Elqui River, flowsPast, Paihuano]
Generated description
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paihuano Target entity description: Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
-
A.
Taihoku
Taihoku was the Japanese colonial-era name for Taipei, which served as the administrative and political center of Taiwan under Japanese rule.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Kinmen
Kinmen is a group of strategically located islands governed by Taiwan (Republic of China), situated just off the coast of mainland China and known for their military history and cross-strait significance.
-
D.
Xuan
Xuan is a Vietnamese surname commonly used as a family name in Vietnam.
-
E.
Batabanó
Batabanó is a coastal municipality in western Cuba known for its fishing industry and ferry connections to nearby islands.
- F. None of above. chosen
Provenance (5 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d5331b48190b3797fece8e60e20 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a386170dac81909a5ebf631f6037ab |
completed | March 1, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69a386b6ebd88190bf52dc3706abfc39 |
completed | March 1, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a38764d03c8190a428a8b1cd5eac06 |
completed | March 1, 2026, 12:25 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.