Triple
T8034570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Till |
E187072
|
entity |
| Predicate | confluenceNear |
P8203
|
FINISHED |
| Object |
Etal
Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
|
E708836
|
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: Etal | Statement: [River Till, confluenceNear, Etal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Etal Context triple: [River Till, confluenceNear, Etal]
-
A.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
B.
The Ear
The Ear is a distinctive rock formation on El Capitan in Yosemite National Park, serving as a notable feature along the Salathé Wall climbing route.
-
C.
Scooch
Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
-
D.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
E.
Touchstone
Touchstone is the witty and sharp-tongued court jester in Shakespeare’s comedy "As You Like It," known for his clever wordplay and satirical commentary.
- 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: Etal Triple: [River Till, confluenceNear, Etal]
Generated description
Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Etal Target entity description: Etal is a small historic village in Northumberland, England, known for its medieval castle and picturesque setting near the River Till.
-
A.
The Esses
The Esses is a challenging downhill sequence of tight, twisting corners at Mount Panorama Circuit that tests drivers' precision and car balance during the Bathurst 1000.
-
B.
The Ear
The Ear is a distinctive rock formation on El Capitan in Yosemite National Park, serving as a notable feature along the Salathé Wall climbing route.
-
C.
Scooch
Scooch is the costumed mascot character for the Syracuse Mets minor league baseball team, entertaining fans at games and team events.
-
D.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
E.
Touchstone
Touchstone is the witty and sharp-tongued court jester in Shakespeare’s comedy "As You Like It," known for his clever wordplay and satirical commentary.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ef50f4c8190a895ac301f182734 |
completed | March 31, 2026, 3:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56f493908190b68e791cdbe725fa |
completed | March 31, 2026, 11:21 p.m. |
| NEDg | Description generation | batch_69cc5ca6efbc819082f4c643446da354 |
completed | March 31, 2026, 11:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc5d6d93f08190b17d6c7a4fad2cf0 |
completed | March 31, 2026, 11:49 p.m. |
Created at: March 30, 2026, 5:22 p.m.