Triple
T15207099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Sanluri |
E363416
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object |
Sanluri
Sanluri is a historic town in southern Sardinia, Italy, known for its medieval heritage and as the site of a major 1409 battle between Aragonese and Sardinian forces.
|
E1143080
|
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: Sanluri | Statement: [Battle of Sanluri, location, Sanluri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sanluri Context triple: [Battle of Sanluri, location, Sanluri]
-
A.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
B.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
-
D.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
E.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
- 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: Sanluri Triple: [Battle of Sanluri, location, Sanluri]
Generated description
Sanluri is a historic town in southern Sardinia, Italy, known for its medieval heritage and as the site of a major 1409 battle between Aragonese and Sardinian forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sanluri Target entity description: Sanluri is a historic town in southern Sardinia, Italy, known for its medieval heritage and as the site of a major 1409 battle between Aragonese and Sardinian forces.
-
A.
Gisondo
Gisondo is an Italian-origin surname most notably borne by American actor Skyler Gisondo.
-
B.
Santena
Santena is a small town in the Piedmont region of northern Italy, known for its historical association with statesman Camillo Benso, Count of Cavour.
-
C.
Gualba
Gualba is a small municipality in the Vallès Oriental comarca of Catalonia, Spain, known for its natural surroundings near the Montseny Massif.
-
D.
Dainzú
Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
-
E.
Arganil
Arganil is a municipality and town in central Portugal known for its mountainous landscapes, river beaches, and traditional schist villages.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b8e2788190bd1831762e4181ae |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed33dbda08190a10ba81082d0d183 |
completed | May 9, 2026, 6:25 a.m. |
| NEDg | Description generation | batch_69fed47c88d08190a4396b955c9bb388 |
completed | May 9, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fed50956408190b1426d578803974e |
completed | May 9, 2026, 6:32 a.m. |
Created at: April 10, 2026, 3:11 a.m.