Triple
T546353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb of Rabbi Akiva (traditionally associated) |
E12740
|
entity |
| Predicate | visitedOn |
P11614
|
FINISHED |
| Object | Lag BaOmer |
—
|
LITERAL 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: Lag BaOmer | Statement: [Tomb of Rabbi Akiva (traditionally associated), visitedOn, Lag BaOmer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visitedOn Context triple: [Tomb of Rabbi Akiva (traditionally associated), visitedOn, Lag BaOmer]
-
A.
visitedBy
Indicates that a location or entity is the destination or target of a visit performed by another entity.
-
B.
visitedFor
chosen
Indicates that one entity traveled to or attended another entity (such as a place, person, or event) for a specific purpose or reason.
-
C.
visitedCountry
Indicates that an entity has traveled to and spent time in a particular country.
-
D.
visitedContinent
Indicates that an entity has traveled to and spent time on a particular continent.
-
E.
wentTo
Indicates that one entity traveled or moved from its original location to another specified place.
- F. None of above.
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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e150e88190b35b1bc7a376ca07 |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
Created at: March 1, 2026, 7:32 p.m.