Triple
T22606666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maestrazgo (Aragon) |
E566579
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Villarluengo
Villarluengo is a small rural municipality in the mountainous Maestrazgo comarca of the Aragon region in northeastern Spain.
|
E1551772
|
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: Villarluengo | Statement: [Maestrazgo (Aragon), containsSettlement, Villarluengo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Villarluengo Context triple: [Maestrazgo (Aragon), containsSettlement, Villarluengo]
-
A.
Peñalver
Peñalver is a Spanish-language surname of likely toponymic origin, borne by various notable individuals including figures in Latin American history and politics.
-
B.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
-
C.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
D.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
-
E.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
- 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: Villarluengo Triple: [Maestrazgo (Aragon), containsSettlement, Villarluengo]
Generated description
Villarluengo is a small rural municipality in the mountainous Maestrazgo comarca of the Aragon region in northeastern Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Villarluengo Target entity description: Villarluengo is a small rural municipality in the mountainous Maestrazgo comarca of the Aragon region in northeastern Spain.
-
A.
Peñalver
Peñalver is a Spanish-language surname of likely toponymic origin, borne by various notable individuals including figures in Latin American history and politics.
-
B.
Almendralejo
Almendralejo is a town in the Spanish region of Extremadura known for its wine production and agricultural economy.
-
C.
Villalba
Villalba is a frazione (hamlet) of the municipality of Guidonia Montecelio in the Lazio region of central Italy.
-
D.
Villalba
Villalba is a small town and comune in central Sicily, Italy, known for its agricultural economy and location within the Province of Caltanissetta.
-
E.
Peñaranda
Peñaranda is a municipality in the Philippine province of Nueva Ecija, known for its agricultural economy and local cultural traditions.
- 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_69e245884860819081046ce07d5872c4 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1627172488190beb87df965498bcc |
completed | April 29, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fb1e75c8190a4c9692b411b38e3 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b909d16a881909009b416ea7ebf9b |
completed | May 18, 2026, 10:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b912a093c8190991a088843e102ce |
completed | May 18, 2026, 10:22 p.m. |
Created at: April 17, 2026, 2:54 p.m.