Triple
T10909300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tababela |
E257650
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Quito urban area |
E8614
|
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: Quito urban area | Statement: [Tababela, locatedNear, Quito urban area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quito urban area Context triple: [Tababela, locatedNear, Quito urban area]
-
A.
Quito
chosen
Quito is the high-altitude Andean city that serves as Ecuador’s political and cultural center, renowned for its well-preserved colonial historic center and dramatic mountain setting.
-
B.
Quito–Guayaquil
Quito–Guayaquil is a major domestic air route in Ecuador connecting the capital city Quito with the coastal city of Guayaquil.
-
C.
Guayas metropolitan area
The Guayas metropolitan area is a major urban agglomeration in coastal Ecuador centered on the city of Guayaquil and encompassing several surrounding municipalities.
-
D.
Cuenca
Cuenca is a landlocked municipality in the province of Batangas in the Philippines, known for Mount Macolod and its agricultural communities.
-
E.
Cuenca
Cuenca is a historic city in southern Ecuador known for its well-preserved colonial architecture and cultural significance.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d77068e5488190bbc881ebf51d6b2e |
completed | April 9, 2026, 9:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46283f41c8190ac3e1f196c5e4ca0 |
completed | April 19, 2026, 5:05 a.m. |
Created at: April 8, 2026, 9:22 p.m.