Triple
T4989324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diospolis |
E112089
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Sharon plain
Sharon plain is a fertile coastal region in central Israel known historically for its agriculture and ancient settlements.
|
E484960
|
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: Sharon plain | Statement: [Diospolis, locatedIn, Sharon plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharon plain Context triple: [Diospolis, locatedIn, Sharon plain]
-
A.
Sholden
Sholden is a small village and civil parish in Kent, England, situated near the coastal town of Deal.
-
B.
Jerrys Plains
Jerrys Plains is a small rural village in New South Wales, Australia, known for its agricultural lands, horse studs, and proximity to the Hunter Valley wine region.
-
C.
Kelshall
Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
-
D.
Perkiomen Valley
Perkiomen Valley is a region in southeastern Pennsylvania characterized by its rolling landscapes, suburban communities, and the Perkiomen Creek running through it.
-
E.
Storrow
Storrow is a local nickname for Boston’s Storrow Drive, a busy riverside parkway notorious for low-clearance bridges and frequent truck accidents.
- 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: Sharon plain Triple: [Diospolis, locatedIn, Sharon plain]
Generated description
Sharon plain is a fertile coastal region in central Israel known historically for its agriculture and ancient settlements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharon plain Target entity description: Sharon plain is a fertile coastal region in central Israel known historically for its agriculture and ancient settlements.
-
A.
Sholden
Sholden is a small village and civil parish in Kent, England, situated near the coastal town of Deal.
-
B.
Jerrys Plains
Jerrys Plains is a small rural village in New South Wales, Australia, known for its agricultural lands, horse studs, and proximity to the Hunter Valley wine region.
-
C.
Kelshall
Kelshall is a small rural village in the North Hertfordshire district of England, characterized by its historic church and agricultural surroundings.
-
D.
Perkiomen Valley
Perkiomen Valley is a region in southeastern Pennsylvania characterized by its rolling landscapes, suburban communities, and the Perkiomen Creek running through it.
-
E.
Storrow
Storrow is a local nickname for Boston’s Storrow Drive, a busy riverside parkway notorious for low-clearance bridges and frequent truck accidents.
- 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_69bd441be7bc8190b530362d427b97d2 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd727eae1c819085e5548faadbd162 |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a2496a48190a517c92b85834db9 |
completed | March 21, 2026, 12:08 p.m. |
| NEDg | Description generation | batch_69be8ca8e0c88190ae92aa0a7c5af5f4 |
completed | March 21, 2026, 12:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8cfc7fb081909a68ff6089c0f04c |
completed | March 21, 2026, 12:20 p.m. |
Created at: March 20, 2026, 1:34 p.m.