Triple
T4023531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaim Weizmann |
E91335
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Motal |
E97407
|
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: Motal | Statement: [Chaim Weizmann, placeOfBirth, Motal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Motal Context triple: [Chaim Weizmann, placeOfBirth, Motal]
-
A.
Motal
chosen
Motal is a small town in present-day Belarus, historically part of the Russian Empire, known as the birthplace of Israel’s first president, Chaim Weizmann.
-
B.
Mota
Mota is an Oceanic language of northern Vanuatu, historically notable as a regional lingua franca and early mission language in the area.
-
C.
Maltoni
Maltoni is the Italian maiden surname of Rosa Maltoni Mussolini, the mother of fascist dictator Benito Mussolini.
-
D.
Mogilno
Mogilno is a historic town in north-central Poland known for its medieval monastery and location in the Kuyavian-Pomeranian Voivodeship.
-
E.
Mugatu
Mugatu is the flamboyant, villainous fashion designer portrayed by Will Ferrell in the comedy film "Zoolander."
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeface7a788190a0e4e549a6816f91 |
completed | March 9, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c82a33881908eb1b53331b10791 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.