Triple
T19562374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariano Boedo |
E489485
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Boedo |
E731441
|
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: Boedo | Statement: [Mariano Boedo, familyName, Boedo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boedo Context triple: [Mariano Boedo, familyName, Boedo]
-
A.
Boedo
chosen
Boedo is a traditional neighborhood in Buenos Aires, Argentina, known for its strong cultural and literary heritage, particularly its association with tango and leftist intellectual movements.
-
B.
Pateros
Pateros is the smallest and only landlocked municipality in Metro Manila, Philippines, known for its duck-raising industry and production of balut.
-
C.
Pateros
Pateros is a small city in north-central Washington State, located at the confluence of the Methow and Columbia Rivers and serving as a gateway to the Methow Valley.
-
D.
Potrero
Potrero is a metro station in Mexico City that serves passengers on Line 3 of the Mexico City Metro system.
-
E.
Potrero
Potrero is a small rural community in southeastern San Diego County, California, near the U.S.–Mexico border.
- 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f74fdb08190852461b5d5c954ac |
completed | April 20, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a075784e53c81908e7121096b4bd76a |
completed | May 15, 2026, 5:27 p.m. |
Created at: April 10, 2026, 1:42 p.m.