Triple
T1102917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Artemisa Province |
E25420
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Mariel |
E123214
|
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: Mariel | Statement: [Artemisa Province, hasMunicipality, Mariel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mariel Context triple: [Artemisa Province, hasMunicipality, Mariel]
-
A.
Mariel
chosen
Mariel is a Cuban port city best known as the departure point for the 1980 Mariel boatlift, during which thousands of Cubans emigrated to the United States.
-
B.
Somosta
Somosta is a town located within Egypt's Beni Suef Governorate, known as one of the local urban centers in this Upper Egyptian region.
-
C.
Toa Baja
Toa Baja is a coastal municipality in northern Puerto Rico, known for its proximity to San Juan and its mix of urban, industrial, and residential areas.
-
D.
Mariel boatlift
The Mariel boatlift was a 1980 mass emigration in which around 125,000 Cubans fled to the United States by boat from the port of Mariel, dramatically reshaping Cuban American communities.
-
E.
Rosario
Rosario is a major Argentine port city and industrial center located in the province of Santa Fe.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5391a4a88190b7ef6993b2b85b08 |
completed | March 7, 2026, 4:34 p.m. |
Created at: March 1, 2026, 7:43 p.m.