Triple
T16782137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matarranya |
E407881
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Valdeltormo
Valdeltormo is a small municipality in the province of Teruel, in the autonomous community of Aragon, Spain.
|
E1234172
|
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: Valdeltormo | Statement: [Matarranya, containsSettlement, Valdeltormo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Valdeltormo Context triple: [Matarranya, containsSettlement, Valdeltormo]
-
A.
Valderice
Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Sandvollan
Sandvollan is a village in the municipality of Inderøy in Trøndelag county, Norway.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
- 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: Valdeltormo Triple: [Matarranya, containsSettlement, Valdeltormo]
Generated description
Valdeltormo is a small municipality in the province of Teruel, in the autonomous community of Aragon, Spain.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Valdeltormo Target entity description: Valdeltormo is a small municipality in the province of Teruel, in the autonomous community of Aragon, Spain.
-
A.
Valderice
Valderice is a small town and comune in western Sicily, Italy, known for its scenic hillside setting near the historic city of Erice and views over the Gulf of Trapani.
-
B.
Vallentuna
Vallentuna is a locality in Stockholm County, Sweden, known as a suburban community within the Stockholm metropolitan area.
-
C.
Sandvollan
Sandvollan is a village in the municipality of Inderøy in Trøndelag county, Norway.
-
D.
Maselheim
Maselheim is a rural municipality in the district of Biberach in the federal state of Baden-Württemberg in southern Germany.
-
E.
Harestua
Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b217b2108190bbba262a3b324509 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab0300e48190ad088cd11098ca34 |
completed | May 10, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_6a00aba5fb388190ab98a0c8ee50340b |
completed | May 10, 2026, 4 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00ac54a11c81909afe9244e9fe0656 |
completed | May 10, 2026, 4:03 p.m. |
Created at: April 10, 2026, 5:22 a.m.