Triple
T7326734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essex County Fire and Rescue Service |
E168894
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Rivenhall
Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
|
E656623
|
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: Rivenhall | Statement: [Essex County Fire and Rescue Service, headquartersLocation, Rivenhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rivenhall Context triple: [Essex County Fire and Rescue Service, headquartersLocation, Rivenhall]
-
A.
Glaramara
Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
-
B.
Ragnok
Ragnok is a goblin associated with Gringotts Wizarding Bank in the Harry Potter universe, often depicted as a senior or influential figure among the goblins.
-
C.
Lasham
Lasham is a small rural village in Hampshire, England, best known for its large gliding airfield and aviation activities.
-
D.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
E.
Mythenquai
Mythenquai is a popular lakeside recreational area in Zurich known for its swimming facilities, green spaces, and scenic views along Lake Zurich.
- 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: Rivenhall Triple: [Essex County Fire and Rescue Service, headquartersLocation, Rivenhall]
Generated description
Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rivenhall Target entity description: Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
-
A.
Glaramara
Glaramara is a prominent fell in England’s Lake District, known for its rugged ridges and extensive views over Borrowdale.
-
B.
Ragnok
Ragnok is a goblin associated with Gringotts Wizarding Bank in the Harry Potter universe, often depicted as a senior or influential figure among the goblins.
-
C.
Lasham
Lasham is a small rural village in Hampshire, England, best known for its large gliding airfield and aviation activities.
-
D.
Eythorne
Eythorne is a small village in Kent, England, known for its rural character and location near the port town of Dover.
-
E.
Mythenquai
Mythenquai is a popular lakeside recreational area in Zurich known for its swimming facilities, green spaces, and scenic views along Lake Zurich.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a755e88190a50126e2d1d6d4cb |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef0e3e7481908e6cedbd3f0077ca |
completed | March 28, 2026, 3:09 p.m. |
| NEDg | Description generation | batch_69c7efa4f5148190842f30988cbea94c |
completed | March 28, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7f0092bac819080ded1863f99290a |
completed | March 28, 2026, 3:13 p.m. |
Created at: March 27, 2026, 3:03 p.m.