Triple
T12618275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis de Haro |
E301311
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Haro |
E623793
|
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: Haro | Statement: [Luis de Haro, familyName, Haro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haro Context triple: [Luis de Haro, familyName, Haro]
-
A.
Haro
chosen
Haro is a historic town in Spain’s La Rioja region, renowned for its wineries and annual wine festival.
-
B.
Hendrie
Hendrie is a given name and surname, primarily of Scottish origin, that functions as a variant form of the name Henry.
-
C.
Haría
Haría is a picturesque municipality and village in the northern part of Lanzarote in Spain’s Canary Islands, known for its lush “Valley of a Thousand Palms” and traditional architecture.
-
D.
Hosbrook
Hosbrook is a family surname, likely of English origin, shared by individuals such as Brenda Hosbrook.
-
E.
Larue
Larue is a Vietnamese beer brand produced by Asia Pacific Breweries, known for its pale lager popular in central Vietnam.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d960c63ea48190ae1aae9280a023a6 |
completed | April 10, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed507988190b9d46586f3c3584c |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:13 p.m.