Triple
T3513678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irgun |
E74254
|
entity |
| Predicate | alliedWith |
P37
|
FINISHED |
| Object | Lehi |
E73651
|
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: Lehi | Statement: [Irgun, alliedWith, Lehi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lehi Context triple: [Irgun, alliedWith, Lehi]
-
A.
Lehi
chosen
Lehi was a radical Zionist paramilitary organization in Mandatory Palestine known for its militant struggle against British rule and controversial tactics during the 1940s.
-
B.
Lehi, Utah
Lehi, Utah is a rapidly growing city in northern Utah known as a major tech and business hub within the Silicon Slopes region.
-
C.
Kanosh
Kanosh is a small town in central Utah known for its rural setting and historical ties to the early Mormon settlement of Millard County.
-
D.
Moroni
Moroni is the largest city and political, economic, and cultural center of the island nation of Comoros in the Indian Ocean.
-
E.
Ephraim
Ephraim is one of the tribes of Israel, traditionally descended from Joseph’s younger son and known for its prominence in the northern kingdom.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc2d0bf481909d1f19a87d147b63 |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e76c3a08190831402ff0c680196 |
completed | March 13, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:19 p.m.