Triple
T8423097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monserrat |
E198909
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Manzana de las Luces |
E622097
|
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: Manzana de las Luces | Statement: [Monserrat, hasPart, Manzana de las Luces]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manzana de las Luces Context triple: [Monserrat, hasPart, Manzana de las Luces]
-
A.
Manzana de las Luces
chosen
Manzana de las Luces is a historic block in downtown Buenos Aires known for its colonial-era buildings, tunnels, and role as an intellectual and political center since the 17th century.
-
B.
Illapel
Illapel is a city in Chile's Coquimbo Region known as an administrative and commercial center in the Choapa Valley.
-
C.
Los Sauces
Los Sauces is a small town and commune in Chile’s Araucanía Region, known for its rural character and forestry-based economy.
-
D.
Torrontés
Torrontés is an aromatic white wine grape variety from Argentina, known for its floral, citrusy wines with crisp acidity.
-
E.
Tagüeña
Tagüeña is a Spanish surname most notably associated with Manuel Tagüeña, a Republican military officer and physicist active during the Spanish Civil War.
- 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_69ca8312d63c8190bf133b676b44a385 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb859f787481908a11797a317c8849 |
completed | March 31, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce035aac4c81909066c1ca1318d006 |
completed | April 2, 2026, 5:49 a.m. |
Created at: March 30, 2026, 6:06 p.m.