Triple
T13239351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ter |
E315238
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Freser
Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
|
E1028495
|
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: Freser | Statement: [Ter, hasTributary, Freser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freser Context triple: [Ter, hasTributary, Freser]
-
A.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
B.
Fraser
Fraser is a small mountain town in Colorado known for its proximity to ski resorts and outdoor recreation in the Rocky Mountains.
-
C.
Fraser
Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
-
D.
Fraser
Fraser is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
-
E.
Frewer
Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
- 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: Freser Triple: [Ter, hasTributary, Freser]
Generated description
Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Freser Target entity description: Freser is a river in Catalonia, Spain, known for flowing through the Pyrenees and joining the Ter River.
-
A.
Finklea
Finklea is the birth surname of American actress and dancer Cyd Charisse, known for her roles in classic Hollywood musicals.
-
B.
Fraser
Fraser is a small mountain town in Colorado known for its proximity to ski resorts and outdoor recreation in the Rocky Mountains.
-
C.
Fraser
Fraser is a common Scottish surname historically associated with the Clan Fraser and borne by many notable figures worldwide.
-
D.
Fraser
Fraser is a residential suburb in the Belconnen district of Canberra, in the Australian Capital Territory.
-
E.
Frewer
Frewer is a surname most notably associated with Canadian-American actor Matt Frewer, known for portraying the character Max Headroom.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d5850ac8190849a51da39efe5be |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7013b3428819083c2bb6032aa08d4 |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f702b40f088190bc3c24321309dfb1 |
completed | May 3, 2026, 8:09 a.m. |
Created at: April 9, 2026, 9:23 p.m.