Triple
T94015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Industriales |
E1889
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Havana |
E396
|
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: Havana | Statement: [Industriales, basedIn, Havana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Havana Context triple: [Industriales, basedIn, Havana]
-
A.
Havana, Cuba
chosen
Havana, Cuba is the capital and largest city of Cuba, renowned for its historic architecture, vibrant culture, and significant political and economic role in the Caribbean.
-
B.
Vedado district of Havana
The Vedado district of Havana is a central, upscale neighborhood known for its wide avenues, modernist architecture, cultural venues, and vibrant nightlife.
-
C.
Panama City
Panama City is the largest urban center and economic hub of Panama, known for its modern skyline, historic Casco Viejo district, and proximity to the Panama Canal.
-
D.
San Juan
San Juan is the largest city and main cultural, economic, and tourism hub of Puerto Rico, known for its historic colonial architecture and vibrant coastal setting.
-
E.
San Salvador
San Salvador is the largest city of El Salvador and its political, cultural, and economic center.
- 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_69a24d4862f881908cc8b89d3a78031d |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24fd28e988190bde699647ee5b16b |
completed | Feb. 28, 2026, 2:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2db50ac3881908088683967e9ae9f |
completed | Feb. 28, 2026, 12:10 p.m. |
Created at: Feb. 28, 2026, 2:09 a.m.