Triple
T2824660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flitcham |
E54890
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object |
Anmer
Anmer is a small rural village in Norfolk, England, notable for its proximity to the Sandringham Estate and its historic parish church.
|
E301193
|
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: Anmer | Statement: [Flitcham, near, Anmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anmer Context triple: [Flitcham, near, Anmer]
-
A.
Bruinisse
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
-
B.
Ammer
The Ammer is a river in Bavaria, Germany, known for flowing through the Ammergau Alps and feeding the Ammersee.
-
C.
Wabush
Wabush is a small mining town in western Labrador, Canada, known historically for its iron ore operations and proximity to Labrador City.
-
D.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
-
E.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
- 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: Anmer Triple: [Flitcham, near, Anmer]
Generated description
Anmer is a small rural village in Norfolk, England, notable for its proximity to the Sandringham Estate and its historic parish church.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anmer Target entity description: Anmer is a small rural village in Norfolk, England, notable for its proximity to the Sandringham Estate and its historic parish church.
-
A.
Bruinisse
Bruinisse is a fishing village and tourist destination in the Dutch province of Zeeland, known for its mussel industry and location on the Grevelingen.
-
B.
Ammer
The Ammer is a river in Bavaria, Germany, known for flowing through the Ammergau Alps and feeding the Ammersee.
-
C.
Wabush
Wabush is a small mining town in western Labrador, Canada, known historically for its iron ore operations and proximity to Labrador City.
-
D.
Baïse
Baïse is a river in southwestern France that flows through the Occitanie and Nouvelle-Aquitaine regions before joining the Garonne.
-
E.
Crompond
Crompond is a small hamlet within the town of Yorktown in Westchester County, New York, known primarily as a residential community.
- 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_69ab49e100c0819082a40cb797383243 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde91487881909989c08bbf76f0da |
completed | March 7, 2026, 8:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afcead12588190bfbb2c9e93b05e0d |
completed | March 10, 2026, 7:56 a.m. |
| NEDg | Description generation | batch_69afcf5ec0a481909061d50877429f3b |
completed | March 10, 2026, 7:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcff778748190978e7d306e0d1ce1 |
completed | March 10, 2026, 8:01 a.m. |
Created at: March 6, 2026, 9:59 p.m.