Triple
T4717434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of David archaeological area |
E104680
|
entity |
| Predicate | excavatedBy |
P7650
|
FINISHED |
| Object | Ronny Reich |
E332118
|
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: Ronny Reich | Statement: [City of David archaeological area, excavatedBy, Ronny Reich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronny Reich Context triple: [City of David archaeological area, excavatedBy, Ronny Reich]
-
A.
Ronny Reich
chosen
Ronny Reich is an Israeli archaeologist renowned for his extensive excavations and research in Jerusalem, particularly in the area surrounding the Temple Mount and the City of David.
-
B.
Roni Ashuri
Roni Ashuri is an entrepreneur and technology executive best known as a founder of the Israeli high-performance networking company Mellanox Technologies.
-
C.
Dov Moran
Dov Moran is an Israeli entrepreneur and inventor best known as the creator of the USB flash drive and a pioneer in the flash memory industry.
-
D.
Rony Kahan
Rony Kahan is an entrepreneur best known as the co-founder of the global job search engine Indeed.
-
E.
Harel Weinstein
Harel Weinstein is an Israeli-American neuroscientist and biophysicist known for his work on membrane proteins and computational neuroscience.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64261af08190b0d5d86b0e7bacc0 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1088103c819098296ce700697e90 |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:18 p.m.