Triple
T16359271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ‘Arvot Moav |
E397267
|
entity |
| Predicate | associatedWithFigure |
P1183
|
FINISHED |
| Object | Balak |
E797339
|
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: Balak | Statement: [‘Arvot Moav, associatedWithFigure, Balak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balak Context triple: [‘Arvot Moav, associatedWithFigure, Balak]
-
A.
Balak
chosen
Balak is a Moabite king in the Hebrew Bible who sought to have the prophet Balaam curse the Israelites as they approached his land.
-
B.
Taḥanun
Taḥanun is a Jewish penitential prayer recited during weekday services, asking for divine mercy and forgiveness.
-
C.
Dabir
Dabir is a historical Persian title referring to a scribe or secretary, often serving in high administrative or courtly roles.
-
D.
Yona Yahav
Yona Yahav is an Israeli lawyer and politician best known for serving as the long-time mayor of the city of Haifa.
-
E.
Eldad
Eldad is the commonly used name of Israel Eldad, a prominent Israeli philosopher, Revisionist Zionist thinker, and influential intellectual figure in the mid-20th century.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2fad1859c819082b47bf9d7fabd9f |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbce2508190b655de87f48e841e |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.