Triple
T8749243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan de Lángara |
E207912
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | de Lángara |
E207912
|
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: de Lángara | Statement: [Juan de Lángara, familyName, de Lángara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: de Lángara Context triple: [Juan de Lángara, familyName, de Lángara]
-
A.
de Lángara
chosen
de Lángara is a Spanish surname most notably associated with the 18th-century admiral Juan de Lángara, a prominent naval commander in the Spanish Navy.
-
B.
Langara
Langara is a town located in the Indonesian province of Southeast Sulawesi.
-
C.
Whitemark
Whitemark is the principal township and administrative centre of Flinders Island in Tasmania, Australia.
-
D.
Saclan
Saclan is a now-extinct Miwok language once spoken by Indigenous people in what is now central California.
-
E.
Strathearn
Strathearn is a scenic valley region in central Scotland, known for its rural landscapes, historic towns, and the River Earn running through it.
- 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_69ca835bb2bc819084bb5906cb6ef7f8 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5da4214881908b6917f847c43cb5 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf431db5a88190a579b43370a8e887 |
completed | April 3, 2026, 4:33 a.m. |
Created at: March 30, 2026, 6:39 p.m.