Triple
T9431109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Mancha |
E227375
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Tomelloso
Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
|
E799820
|
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: Tomelloso | Statement: [La Mancha, hasCity, Tomelloso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomelloso Context triple: [La Mancha, hasCity, Tomelloso]
-
A.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
B.
Maltoni
Maltoni is the Italian maiden surname of Rosa Maltoni Mussolini, the mother of fascist dictator Benito Mussolini.
-
C.
Maruggio
Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
-
D.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
E.
Torchiarolo
Torchiarolo is a small coastal town and comune in the Apulia region of southern Italy, known for its olive groves and proximity to the Adriatic Sea.
- 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: Tomelloso Triple: [La Mancha, hasCity, Tomelloso]
Generated description
Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomelloso Target entity description: Tomelloso is a town in Spain’s Castilla-La Mancha region, known for its extensive wine production and agricultural economy.
-
A.
Nocciano
Nocciano is a small Italian town and comune in the Abruzzo region, known for its historic hilltop setting and traditional rural character.
-
B.
Maltoni
Maltoni is the Italian maiden surname of Rosa Maltoni Mussolini, the mother of fascist dictator Benito Mussolini.
-
C.
Maruggio
Maruggio is a small historic town and coastal municipality in the Apulia region of southern Italy, known for its traditional architecture and proximity to the Ionian Sea.
-
D.
Trezzini
Trezzini is an Italian-origin surname most notably associated with Domenico Trezzini, the Swiss-Italian architect who helped shape early 18th-century Saint Petersburg.
-
E.
Torchiarolo
Torchiarolo is a small coastal town and comune in the Apulia region of southern Italy, known for its olive groves and proximity to the Adriatic Sea.
- 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_69ca8437a7ac81908651de48f2d2141d |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd7e5ed7408190beda5fb078e9345a |
completed | April 1, 2026, 8:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1104033c08190a3670b017bd984d5 |
completed | April 4, 2026, 1:21 p.m. |
| NEDg | Description generation | batch_69d110ffda7881908e4edd692b818464 |
completed | April 4, 2026, 1:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d11190dd6c8190b6318df44daa9858 |
completed | April 4, 2026, 1:26 p.m. |
Created at: March 30, 2026, 7:49 p.m.