Triple
T14435566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlos Prats |
E357949
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Santiago |
E2032
|
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: Santiago | Statement: [Carlos Prats, residence, Santiago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santiago Context triple: [Carlos Prats, residence, Santiago]
-
A.
Santiago
chosen
Santiago is the capital and primary economic, political, and cultural center of Chile, located in the country’s central valley.
-
B.
Santiago
Santiago is the aging Cuban fisherman and stoic protagonist of Ernest Hemingway’s novella *The Old Man and the Sea*, known for his endurance, dignity, and struggle against a giant marlin.
-
C.
Santiago
Santiago is a charismatic bohemian performer and friend of Christian in *Moulin Rouge! The Musical*, contributing comic relief, passion, and artistic flair to the story.
-
D.
Santiago
Santiago is a coastal municipality in the province of Ilocos Sur in the Philippines, known for its beaches and agricultural communities.
-
E.
Santiago
Santiago is a city in western Guatemala near the Santiaguito lava dome complex, known for its proximity to significant volcanic activity.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9148cf4481909082cc91b2f76218 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d84fd888190b05dcf9191bae337 |
completed | May 8, 2026, 4:58 a.m. |
Created at: April 10, 2026, 1:18 a.m.