Triple
T15933171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubao |
E386371
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Guagua |
E387643
|
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: Guagua | Statement: [Lubao, borderedBy, Guagua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guagua Context triple: [Lubao, borderedBy, Guagua]
-
A.
Guagua
chosen
Guagua is a municipality in the province of Pampanga in the Philippines, known historically as a riverside trading town.
-
B.
Tumbalá
Tumbalá is a municipality in the Mexican state of Chiapas, known for its lush jungle landscapes and proximity to popular natural attractions.
-
C.
Pacasmayo
Pacasmayo is a coastal city in northern Peru known for its long pier, surfing beaches, and colonial-era architecture.
-
D.
Achacachi
Achacachi is a town in Bolivia known as a commercial and cultural center of the Aymara people near Lake Titicaca.
-
E.
Cojitambo
Cojitambo is an ancient highland archaeological complex in Ecuador notable for its Cañari and later Inca ceremonial and military structures.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a7bdd88190b1d7349ef920fd06 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3bd67f48190aee4f892206d9326 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.