Triple
T15877630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biobío metropolitan area |
E384990
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Tomé |
E422378
|
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: Tomé | Statement: [Biobío metropolitan area, hasPart, Tomé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomé Context triple: [Biobío metropolitan area, hasPart, Tomé]
-
A.
Tomé
chosen
Tomé is a coastal commune and city in Chile’s Biobío Region, known for its textile industry, fishing activities, and beaches.
-
B.
Santo Tomás
Santo Tomás is a town in the Cusco Region of Peru that serves as the administrative and commercial center of Chumbivilcas Province.
-
C.
Santo Tomás
Santo Tomás is a municipality in El Salvador known for its rural character and proximity to the capital, San Salvador.
-
D.
Martinos
Martinos was a lesser-known member of the Byzantine imperial family, known primarily as a sibling of Emperor Heraklonas in the 7th century.
-
E.
Damião
Damião is a Portuguese given name, equivalent to Damian, commonly used in Lusophone countries.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e155fec9d4819081efea504e1e3952 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa950a890819092bc1e8895034593 |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.