Triple
T23068849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Las Tunas Province |
E575133
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Las Tunas |
—
|
NE NERFINISHED |
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: Las Tunas | Statement: [Las Tunas Province, largestCity, Las Tunas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Las Tunas Context triple: [Las Tunas Province, largestCity, Las Tunas]
-
A.
Las Tunas
chosen
Las Tunas is a city and provincial capital in eastern Cuba known for its cultural traditions and role as a regional economic center.
-
B.
Cienfuegos
Cienfuegos is a coastal city in central Cuba known for its French-influenced architecture and historic bay.
-
C.
Las Tunas Province
Las Tunas Province is an eastern Cuban province known for its agricultural economy, especially cattle and sugarcane production, and its role as a regional transport and cultural center.
-
D.
Cienfuegos, Cuba
Cienfuegos, Cuba is a coastal city on the island’s southern shore known for its French-influenced architecture and historic bay, often called the “Pearl of the South.”
-
E.
Pinar del Río, Cuba
Pinar del Río, Cuba is a western Cuban city and provincial capital known for its rich tobacco-growing region and traditional cigar production.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a5aa4081909b3f0dc92877323d |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.