Triple
T396241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guayaquil |
E8988
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Guayaquileño |
E8988
|
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: Guayaquileño | Statement: [Guayaquil, demonym, Guayaquileño]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guayaquileño Context triple: [Guayaquil, demonym, Guayaquileño]
-
A.
Guayaquil
chosen
Guayaquil is a major Pacific port city in southwestern Ecuador and the country’s principal commercial and industrial center.
-
B.
La Boca
La Boca is a colorful, working-class neighborhood in Buenos Aires famous for its vividly painted houses, tango culture, and the Boca Juniors football stadium.
-
C.
Paraguay
Paraguay is a landlocked country in central South America known for its bilingual Spanish and Guaraní culture and its location along the Paraguay and Paraná rivers.
-
D.
Guaraní
Guaraní is an indigenous South American language of the Tupi–Guaraní family, widely spoken in Paraguay and neighboring countries and notable for its strong cultural and national significance.
-
E.
Uruguay
Uruguay is a small South American country known for its stable democracy, high standard of living, and Atlantic coastline between Brazil and Argentina.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec8a941081909a152fda0ce24a98 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a40ad7ebec8190a0a4ee16b20cea57 |
completed | March 1, 2026, 9:46 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.