Triple
T6672966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marquess of the Atabillos |
E151776
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Atabillos
Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
|
E611023
|
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: Atabillos | Statement: [Marquess of the Atabillos, namedAfter, Atabillos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Atabillos Context triple: [Marquess of the Atabillos, namedAfter, Atabillos]
-
A.
Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
-
B.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
C.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
-
D.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
E.
Morlupo
Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
- 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: Atabillos Triple: [Marquess of the Atabillos, namedAfter, Atabillos]
Generated description
Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Atabillos Target entity description: Atabillos is a noble title namesake, likely referring to a historical place, family, or lineage associated with the Marquess of the Atabillos.
-
A.
Arisbe
Arisbe is a figure in Greek mythology known as an early wife of King Priam of Troy.
-
B.
Atessa
Atessa is a town and municipality in the Abruzzo region of central Italy, known for its industrial activity and automotive manufacturing facilities.
-
C.
Báguanos
Báguanos is a municipality in eastern Cuba located in the province of Holguín, known for its agricultural activities and rural communities.
-
D.
Ateso
Ateso is a Nilotic language spoken primarily by the Teso people of eastern Uganda and western Kenya.
-
E.
Morlupo
Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
- 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_69c687f830bc81909eb8b04dbb8450b1 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0cb78b08190923685712cbba5d8 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7a10ec08190983a66b874a1d541 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f8d27d388190816cfeefbe1519d8 |
completed | March 27, 2026, 9:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f96c215081909e9d7a6e0a811f18 |
completed | March 27, 2026, 9:41 p.m. |
Created at: March 27, 2026, 2:03 p.m.