Triple
T13242928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rav |
E315324
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Rab |
E867040
|
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: Rab | Statement: [Rav, alsoKnownAs, Rab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rab Context triple: [Rav, alsoKnownAs, Rab]
-
A.
Rab
Rab is a historic Croatian island in the Adriatic Sea, known for its medieval old town, sandy beaches, and lush pine forests.
-
B.
Rab
chosen
Rab is a central character in the stage musical "Sunshine on Leith," which follows the lives and relationships of two soldiers returning home to Edinburgh.
-
C.
Rav
Rav was a leading early Babylonian amora and foundational Talmudic sage who co-established the great academy at Sura and helped shape rabbinic Judaism in the Amoraic period.
-
D.
Raab
Raab is a surname of German and Jewish origin borne by various notable individuals across fields such as politics, literature, and the arts.
-
E.
Rato
Rato is the central protagonist of the story "Trash," around whom the narrative and its events primarily revolve.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d59e84c8190a9e547d0fe26a5f9 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a38d09881909e8e3c32e9b1746e |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:23 p.m.