Triple
T13533634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Othón P. Blanco |
E323201
|
entity |
| Predicate | sharesBorderWith |
P224
|
FINISHED |
| Object | Bacalar |
E856724
|
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: Bacalar | Statement: [Othón P. Blanco, sharesBorderWith, Bacalar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bacalar Context triple: [Othón P. Blanco, sharesBorderWith, Bacalar]
-
A.
Bacalar
chosen
Bacalar is a picturesque town in Mexico’s Quintana Roo state, best known for its stunning multi-hued “Lagoon of Seven Colors” and tranquil, less-touristed atmosphere.
-
B.
Aguadas
Aguadas is a historic Colombian town in the Caldas Department, known for its coffee culture, traditional hat-making, and well-preserved colonial architecture.
-
C.
Aguada
Aguada is a coastal municipality on Puerto Rico’s west coast known for its beaches and role as a regional commercial and transportation hub.
-
D.
Bacuag
Bacuag is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its fishing communities and access to rich marine resources.
-
E.
Bassignana
Bassignana is a municipality in the Piedmont region of northern Italy, situated near the confluence of the Tanaro and Po rivers.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbcad2881909fb7490311807f75 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d980cac8190a7f7fda56abda361 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.