Triple
T16382226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Janet Murguía |
E397833
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Murguía |
E395165
|
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: Murguía | Statement: [Janet Murguía, familyName, Murguía]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Murguía Context triple: [Janet Murguía, familyName, Murguía]
-
A.
Murguia
chosen
Murguia is a Spanish-language surname of Basque origin borne by various notable individuals in the United States and Latin America.
-
B.
Vilalba
Vilalba is a town in the province of Lugo in Galicia, northwestern Spain, known as the birthplace of several notable Galician political and cultural figures.
-
C.
Peñarrubia
Peñarrubia is a municipality in the province of Abra in the Philippines, known for its rural landscape and small, predominantly agricultural communities.
-
D.
Alagón
Alagón is a municipality in northeastern Spain known for its historical architecture and location near the Ebro River in the autonomous community of Aragon.
-
E.
Alagón
Alagón is a river in western Spain that flows through the Extremadura region before joining the Tagus River.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319dd0e0c8190812bde6a2f7d9644 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c55bba481909bca6cc17e1dfcf5 |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:08 a.m.