Triple
T12477797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesopotamia–Litoral region (broad sense) |
E298219
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Posadas |
E101951
|
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: Posadas | Statement: [Mesopotamia–Litoral region (broad sense), hasMajorCity, Posadas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Posadas Context triple: [Mesopotamia–Litoral region (broad sense), hasMajorCity, Posadas]
-
A.
Posadas
chosen
Posadas is the capital city of Misiones Province in northeastern Argentina, located on the border with Paraguay.
-
B.
Catanduva
Catanduva is a municipality in the northwestern region of the state of São Paulo, Brazil, known for its agricultural production and regional commercial importance.
-
C.
Colonia Portales
Colonia Portales is a residential neighborhood in Mexico City known for its traditional urban layout, local commerce, and convenient access to public transportation.
-
D.
Tandil
Tandil is a mid-sized city in central Argentina known for its scenic hilly landscapes, stone formations, and tourism-focused outdoor activities.
-
E.
Chapecó
Chapecó is a major city in the state of Santa Catarina known as an important regional hub for agribusiness and food processing in southern Brazil.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94dcc24e48190ae9c367a03f659f4 |
completed | April 10, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f63f2732a08190890493925e41a6e1 |
completed | May 2, 2026, 6:15 p.m. |
Created at: April 8, 2026, 9:56 p.m.