Triple
T16782148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matarranya |
E407881
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Castelserás
Castelserás is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location near the Matarranya River.
|
E1234181
|
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: Castelserás | Statement: [Matarranya, containsSettlement, Castelserás]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castelserás Context triple: [Matarranya, containsSettlement, Castelserás]
-
A.
Castell
Castell is a small historic market town in northern Bavaria, Germany, known for its winegrowing tradition and association with the noble House of Castell.
-
B.
Red Castle
Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
-
C.
King’s Castle
King’s Castle is a historic coastal fortification in Bermuda that forms part of the UNESCO-listed defenses of the Town of St. George.
-
D.
Drakensteyn Castle
Drakensteyn Castle is a 17th-century moated country house in the Netherlands best known as the private residence of former Queen Beatrix.
-
E.
Castellciutat
Castellciutat is a historic village in Catalonia, Spain, known for its hilltop fortress and role as a former regional administrative center.
- 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: Castelserás Triple: [Matarranya, containsSettlement, Castelserás]
Generated description
Castelserás is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location near the Matarranya River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Castelserás Target entity description: Castelserás is a small municipality in the province of Teruel, Aragon, Spain, known for its rural character and location near the Matarranya River.
-
A.
Castell
Castell is a small historic market town in northern Bavaria, Germany, known for its winegrowing tradition and association with the noble House of Castell.
-
B.
Red Castle
Red Castle is a ruined medieval fortress overlooking Lunan Bay on the east coast of Scotland.
-
C.
King’s Castle
King’s Castle is a historic coastal fortification in Bermuda that forms part of the UNESCO-listed defenses of the Town of St. George.
-
D.
Drakensteyn Castle
Drakensteyn Castle is a 17th-century moated country house in the Netherlands best known as the private residence of former Queen Beatrix.
-
E.
Castellciutat
Castellciutat is a historic village in Catalonia, Spain, known for its hilltop fortress and role as a former regional administrative center.
- 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.