Triple
T7184200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zin Valley |
E167527
|
entity |
| Predicate | hasNearbySite |
P350
|
FINISHED |
| Object | Ein Avdat |
E271712
|
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: Ein Avdat | Statement: [Zin Valley, hasNearbySite, Ein Avdat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ein Avdat Context triple: [Zin Valley, hasNearbySite, Ein Avdat]
-
A.
Ein Avdat
chosen
Ein Avdat is a dramatic desert canyon and oasis in southern Israel known for its steep cliffs, springs, and hiking trails.
-
B.
Ein Hod
Ein Hod is an artists' village in northern Israel known for its vibrant creative community, galleries, and scenic setting on the slopes of the Carmel Range.
-
C.
Avikam
Avikam is a Kwa language spoken by the Avikam people in southern Côte d'Ivoire.
-
D.
Sarei HaMeah
Sarei HaMeah is a significant Hebrew work by Rabbi Yehuda Leib Maimon that profiles and analyzes one hundred prominent rabbinic figures.
-
E.
Even Ha’ezer
Even Ha’ezer is the section of the Shulchan Aruch that codifies Jewish law relating to marriage, divorce, and family matters.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8de114c8190ad8fde0654526482 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7b94b058481909da9d5b21a5201de |
completed | March 28, 2026, 11:19 a.m. |
Created at: March 27, 2026, 2:49 p.m.