Triple
T28834929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacob's Well |
E728151
|
entity |
| Predicate | gospelChapter |
P165649
|
FINISHED |
| Object |
John 4
John 4 is a chapter in the New Testament Gospel of John that recounts Jesus’ encounter with the Samaritan woman at Jacob’s Well and his teaching on living water and true worship.
|
E329732
|
NE FINISHED |
How this triple was built (3 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: John 4 | Statement: [Jacob's Well, gospelChapter, John 4]
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: John 4 Triple: [Jacob's Well, gospelChapter, John 4]
Generated description
John 4 is a chapter in the New Testament Gospel of John that recounts Jesus’ encounter with the Samaritan woman at Jacob’s Well and his teaching on living water and true worship.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gospelChapter Context triple: [Jacob's Well, gospelChapter, John 4]
-
A.
chapterAndVerse
Indicates a relationship where a specific chapter is associated with a specific verse (or set of verses) within a structured text, such as a book or document.
-
B.
gospelEpisode
Indicates that one entity is an episode or segment within a gospel narrative or gospel-related series associated with another entity.
-
C.
scripturalChapters
Indicates that one entity is composed of, contains, or is divided into the specified scriptural chapters.
-
D.
gospelReadingFrom
Indicates that a particular gospel reading is taken from or sourced in a specified scriptural passage or book.
-
E.
scripturalSection
Indicates a relationship where one text or passage is a specific section or subdivision within a larger scriptural work.
- F. None of above. chosen
Provenance (7 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_69f0319dc6088190bbfaa206d40ed74a |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596cb08c8190908072a531179743 |
completed | May 2, 2026, 8:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a24bbaeaa1c8190bcab7ce401c74ff8 |
completed | June 7, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a24c04fe0f48190829c6dd2c0026650 |
completed | June 7, 2026, 12:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a24c4255b748190985f57aedda13c1c |
completed | June 7, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f658ebeca4819096beb3f98f73fe31 |
completed | May 2, 2026, 8:05 p.m. |
Created at: April 28, 2026, 6:39 a.m.