Triple
T12687502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berry School |
E303110
|
entity |
| Predicate | town |
P3385
|
FINISHED |
| Object |
Bethel
Bethel is a small town in Maine known for its scenic mountain setting and outdoor recreation opportunities, including skiing and hiking.
|
E348153
|
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: Bethel | Statement: [Berry School, town, Bethel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethel Context triple: [Berry School, town, Bethel]
-
A.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
B.
Bethel
Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
-
C.
Bethel
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
D.
Bethel
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
-
E.
Bethel
Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
- 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: Bethel Triple: [Berry School, town, Bethel]
Generated description
Bethel is a small town in Maine known for its scenic mountain setting and outdoor recreation opportunities, including skiing and hiking.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethel Target entity description: Bethel is a small town in Maine known for its scenic mountain setting and outdoor recreation opportunities, including skiing and hiking.
-
A.
Bethel
Bethel is a remote city in western Alaska that serves as a regional hub for transportation, health care, and services for many surrounding Yup’ik villages.
-
B.
Bethel
Bethel was an important religious and political center in ancient Israel, traditionally associated with patriarchal worship and later Israelite monarchy.
-
C.
Bethel
chosen
Bethel is a small town in western Maine known as a gateway to the White Mountains and a center for outdoor recreation and regional history.
-
D.
Bethel
Bethel is a small residential community and neighbourhood within the city of Port Colborne in Ontario, Canada.
-
E.
Bethel
Bethel is a residential suburb and local community area on the outskirts of St Austell in Cornwall, England.
- F. None of above.
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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961d8cb048190864a85dd75648820 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69b8a79488190aaf95d4f2e20a7bc |
completed | May 3, 2026, 12:49 a.m. |
| NEDg | Description generation | batch_69f69d48e6948190a13afe3b8943d877 |
completed | May 3, 2026, 12:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69dfa2b8481908827025a28bfb056 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 9, 2026, 5:21 p.m.