Triple
T917144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Book of Ruth |
E19795
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
Moab
Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
|
E108457
|
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: Moab | Statement: [Book of Ruth, setIn, Moab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moab Context triple: [Book of Ruth, setIn, Moab]
-
A.
Sedona
Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
-
B.
Supai, Arizona
Supai, Arizona is a remote village in the Grand Canyon that serves as the main home of the Havasupai people and a gateway to the famous Havasu Falls.
-
C.
Arrah
Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
-
D.
Mesa
Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
-
E.
Elko
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
- 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: Moab Triple: [Book of Ruth, setIn, Moab]
Generated description
Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Moab Target entity description: Moab is an ancient kingdom located east of the Dead Sea, frequently mentioned in the Hebrew Bible as a neighboring land to Israel.
-
A.
Sedona
Sedona is a scenic Arizona city famed for its striking red rock formations, vibrant arts community, and reputation as a spiritual and outdoor recreation destination.
-
B.
Supai, Arizona
Supai, Arizona is a remote village in the Grand Canyon that serves as the main home of the Havasupai people and a gateway to the famous Havasu Falls.
-
C.
Arrah
Arrah is a historic town in the Indian state of Bihar, known for its role as a key site of conflict during the Indian Rebellion of 1857.
-
D.
Mesa
Mesa is a pioneering systems programming language developed at Xerox PARC in the 1970s, notable for its strong typing, modularity, and influence on later languages and operating system design.
-
E.
Elko
Elko is a small city in northeastern Nevada known as a regional hub for ranching, mining, and outdoor recreation.
- 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_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f8e26c81908b768d3e9e67689d |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7cf6062e48190ad7efca6da7d0445 |
completed | March 4, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69a7cfd126f48190bff81a9c2d3781f0 |
completed | March 4, 2026, 6:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7d05886c081909e6453d766540720 |
completed | March 4, 2026, 6:25 a.m. |
Created at: March 1, 2026, 7:39 p.m.