Triple
T18198677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Worth |
E435725
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Ingrow
Ingrow is a small suburb of Keighley in West Yorkshire, England, known for its railway heritage and proximity to the River Worth.
|
E1311756
|
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: Ingrow | Statement: [River Worth, flowsThrough, Ingrow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingrow Context triple: [River Worth, flowsThrough, Ingrow]
-
A.
Eyebroughy
Eyebroughy is a small rocky islet in the Firth of Forth, Scotland, known as a protected bird sanctuary and notable feature of the coastal landscape near North Berwick.
-
B.
Gingelom
Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
-
C.
Shedgum
Shedgum is a major production area within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the country’s crude oil output.
-
D.
Grong
Grong is a rural municipality in Trøndelag county, central Norway, known for its forests, rivers, and role as a regional transport and service center in the Namdalen district.
-
E.
Inchy
Inchy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
- 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: Ingrow Triple: [River Worth, flowsThrough, Ingrow]
Generated description
Ingrow is a small suburb of Keighley in West Yorkshire, England, known for its railway heritage and proximity to the River Worth.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ingrow Target entity description: Ingrow is a small suburb of Keighley in West Yorkshire, England, known for its railway heritage and proximity to the River Worth.
-
A.
Eyebroughy
Eyebroughy is a small rocky islet in the Firth of Forth, Scotland, known as a protected bird sanctuary and notable feature of the coastal landscape near North Berwick.
-
B.
Gingelom
Gingelom is a rural municipality in the Belgian province of Limburg, known for its agricultural landscape and small village communities.
-
C.
Shedgum
Shedgum is a major production area within Saudi Arabia’s vast Ghawar oil field, known for its significant contribution to the country’s crude oil output.
-
D.
Grong
Grong is a rural municipality in Trøndelag county, central Norway, known for its forests, rivers, and role as a regional transport and service center in the Namdalen district.
-
E.
Inchy
Inchy is a small commune in northern France located within the administrative boundaries of the canton of Le Cateau-Cambrésis.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03980f600c819099f3fb14744f8afa |
completed | May 12, 2026, 9:13 p.m. |
| NEDg | Description generation | batch_6a0398fb7fb481908a32c56a798d81fd |
completed | May 12, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a039a2b85888190bbcae1ba9d8ba715 |
completed | May 12, 2026, 9:22 p.m. |
Created at: April 10, 2026, 10:31 a.m.