Triple
T14820909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tell el-Ful |
E348447
|
entity |
| Predicate | identifiedWith |
P13264
|
FINISHED |
| Object | Gibeah |
E68812
|
NE FINISHED |
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: [Tell el-Ful, identifiedWith, Gibeah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gibeah Context triple: [Tell el-Ful, identifiedWith, 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.
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.
-
C.
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.
-
D.
Bethal
Bethal is a small town in Mpumalanga, South Africa, known historically for its role in the region’s coal mining and agriculture.
-
E.
Adullam region
The Adullam region is a hilly agricultural and historical area in central Israel, known for its vineyards, natural landscapes, and archaeological sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe64328819083ce42704cf0602d |
completed | April 14, 2026, 11:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe389bc06c8190a8269c07677d9c35 |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:50 a.m.