Triple
T3271347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Darwen |
E68654
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object |
Hoddlesden
Hoddlesden is a small village in Lancashire, England, situated in a rural valley setting and historically associated with textile manufacturing.
|
E342631
|
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: Hoddlesden | Statement: [River Darwen, flowsThrough, Hoddlesden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoddlesden Context triple: [River Darwen, flowsThrough, Hoddlesden]
-
A.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
B.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
C.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
D.
Waddon
Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
-
E.
Chicksands
Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
- 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: Hoddlesden Triple: [River Darwen, flowsThrough, Hoddlesden]
Generated description
Hoddlesden is a small village in Lancashire, England, situated in a rural valley setting and historically associated with textile manufacturing.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoddlesden Target entity description: Hoddlesden is a small village in Lancashire, England, situated in a rural valley setting and historically associated with textile manufacturing.
-
A.
Hordley
Hordley is a small rural settlement located in the parish of St. Thomas in the East, Jamaica.
-
B.
Harpenden
Harpenden is a commuter town in southern England known for its green spaces and affluent residential character.
-
C.
Orsett
Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
-
D.
Waddon
Waddon is a suburban area in south London, England, known for its residential character, local shopping streets, and proximity to Croydon town centre.
-
E.
Chicksands
Chicksands is a British military base in Bedfordshire, England, historically known for its intelligence and signals operations and now home to the headquarters of the British Army’s Intelligence Corps.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff4b9dc8190b7e3da0bbffccf99 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28f02a620819091356c965b2aceef |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c47e908190b5be5b33da358ade |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.