Triple
T17035356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vieux Fort District |
E413307
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Beanefield
Beanefield is a locality within Saint Lucia’s Vieux Fort District, known primarily as the area surrounding the island’s main international airport.
|
E1245798
|
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: Beanefield | Statement: [Vieux Fort District, contains, Beanefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beanefield Context triple: [Vieux Fort District, contains, Beanefield]
-
A.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
B.
Watchfield
Watchfield is a village in Oxfordshire, England, known for its military connections and proximity to the Defence Academy of the United Kingdom.
-
C.
Devils Cornfield
Devils Cornfield is a distinctive Death Valley landscape where clumps of salt-tolerant shrubs rise from the desert floor like eerie, scattered haystacks.
-
D.
Benfeld
Benfeld is a small commune in northeastern France’s Grand Est region, known for its historic town center and traditional Alsatian architecture.
-
E.
Lanefield
Lanefield is a rural locality within the Ipswich City Council area in Queensland, Australia, known for its agricultural land and small 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: Beanefield Triple: [Vieux Fort District, contains, Beanefield]
Generated description
Beanefield is a locality within Saint Lucia’s Vieux Fort District, known primarily as the area surrounding the island’s main international airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beanefield Target entity description: Beanefield is a locality within Saint Lucia’s Vieux Fort District, known primarily as the area surrounding the island’s main international airport.
-
A.
Brown Field
Brown Field is a military training area associated with the United States Marine Corps Officer Candidates School.
-
B.
Watchfield
Watchfield is a village in Oxfordshire, England, known for its military connections and proximity to the Defence Academy of the United Kingdom.
-
C.
Devils Cornfield
Devils Cornfield is a distinctive Death Valley landscape where clumps of salt-tolerant shrubs rise from the desert floor like eerie, scattered haystacks.
-
D.
Benfeld
Benfeld is a small commune in northeastern France’s Grand Est region, known for its historic town center and traditional Alsatian architecture.
-
E.
Lanefield
Lanefield is a rural locality within the Ipswich City Council area in Queensland, Australia, known for its agricultural land and small 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f05824819091d2aa02e5591e26 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b59ad3c8190914ee6f8c903cbbf |
completed | May 10, 2026, 11:57 p.m. |
| NEDg | Description generation | batch_6a011c13076c8190970abfb0e2d3a13c |
completed | May 11, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_6a011c8afb608190b51c7a4c9ccaa0a5 |
completed | May 11, 2026, 12:02 a.m. |
Created at: April 10, 2026, 5:33 a.m.