Triple
T19784633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Saul |
E475227
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Gibeah |
—
|
NE NERFINISHED |
How this triple was built (2 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: Gibeah | Statement: [House of Saul, capital, Gibeah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gibeah Context triple: [House of Saul, capital, Gibeah]
-
A.
Gibeah
chosen
Gibeah was an ancient Israelite city in the territory of Benjamin, historically notable as the royal seat of King Saul.
-
B.
Shefelah
Shefelah is a lowland region in south-central Israel characterized by rolling hills that form a transitional zone between the coastal plain and the Judean Mountains.
-
C.
Kedesh
Kedesh was an ancient city in the territory of the Israelite tribe of Naphtali, known as a Levitical city of refuge in the Hebrew Bible.
-
D.
Penuel
Penuel is the biblical place where Jacob wrestled with a divine being and received the name Israel, marking a pivotal moment in his spiritual transformation.
-
E.
Bethal
Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538715b8819080c6930e7d16ab58 |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.