Triple
T15366169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landaeta Delgado Chalbaud family |
E367419
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object |
Landaeta
Landaeta is a Spanish-language surname associated with the prominent Venezuelan Landaeta Delgado Chalbaud family.
|
E1154534
|
NE FINISHED |
How this triple was built (4 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: Landaeta | Statement: [Landaeta Delgado Chalbaud family, hasSurname, Landaeta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Landaeta Context triple: [Landaeta Delgado Chalbaud family, hasSurname, Landaeta]
-
A.
Piedrahíta
Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
-
B.
Meanguera
Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
-
C.
Lospalos
Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
-
D.
Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
-
E.
Montes de León
Montes de León is a mountain range in northwestern Spain known for its rugged terrain and role as a natural link between the Cantabrian Mountains and the Galician Massif.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Landaeta Triple: [Landaeta Delgado Chalbaud family, hasSurname, Landaeta]
Generated description
Landaeta is a Spanish-language surname associated with the prominent Venezuelan Landaeta Delgado Chalbaud family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Landaeta Target entity description: Landaeta is a Spanish-language surname associated with the prominent Venezuelan Landaeta Delgado Chalbaud family.
-
A.
Piedrahíta
Piedrahíta is a historic town in the province of Ávila, Castile and León, Spain, known for its medieval heritage and noble connections.
-
B.
Meanguera
Meanguera is a municipality and town in eastern El Salvador, located within the Morazán Department.
-
C.
Lospalos
Lospalos is a town in eastern East Timor that serves as an administrative and commercial center for the surrounding region.
-
D.
Llagostera
Llagostera is a municipality in the province of Girona in Catalonia, northeastern Spain, known for its historical town center and proximity to the Costa Brava.
-
E.
Montes de León
Montes de León is a mountain range in northwestern Spain known for its rugged terrain and role as a natural link between the Cantabrian Mountains and the Galician Massif.
- F. None of above. chosen
Provenance (5 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e497de48190be249b110999ec5c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff142e99e081909d01cac0416f1bde |
completed | May 9, 2026, 11:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff14c61eb08190ba854b541eb1ce14 |
completed | May 9, 2026, 11:04 a.m. |
Created at: April 10, 2026, 3:18 a.m.