Triple
T4607869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel |
E100480
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Ramah |
E458437
|
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: Ramah | Statement: [Samuel, burialPlace, Ramah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramah Context triple: [Samuel, burialPlace, Ramah]
-
A.
Ramah
Ramah is an ancient town in the central highlands of Israel, frequently mentioned in the Hebrew Bible for its strategic location and association with several key prophetic and historical events.
-
B.
Kfar Nahum
Kfar Nahum is the modern Israeli site identified with the ancient fishing village of Capernaum on the northwestern shore of the Sea of Galilee, known for its significant New Testament associations.
-
C.
Libnah
Libnah was a woman of the royal family of Judah, known primarily as the wife of King Josiah and the mother of King Zedekiah.
-
D.
Ramathaim-zophim
chosen
Ramathaim-zophim is an ancient town in the hill country of Ephraim, traditionally identified as the hometown of the prophet Samuel in the Hebrew Bible.
-
E.
Givat Shaul
Givat Shaul is a neighborhood in western Jerusalem known for its mix of residential areas, industrial zones, and various governmental and institutional facilities.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be03521a9481908073d50221c80d63 |
completed | March 21, 2026, 2:32 a.m. |
Created at: March 20, 2026, 1:12 p.m.