Triple
T9384250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | לֵאָה |
E225864
|
entity |
| Predicate | coWife |
P59289
|
FINISHED |
| Object |
זלפה
זלפה היא אחת משתי השפחות שניתנו ליעקב לנשים בסיפור המקראי, אם לשני שבטים מישראל.
|
E796760
|
NE FINISHED |
How this triple was built (4 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: זלפה | Statement: [לֵאָה, coWife, זלפה]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: זלפה Context triple: [לֵאָה, coWife, זלפה]
-
A.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
B.
Elphi
Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
-
C.
Zamphuor
Zamphuor is a fictional, potent ingredient featured in Douglas Adams’ The Hitchhiker’s Guide to the Galaxy as part of the infamous Pan Galactic Gargle Blaster cocktail.
-
D.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
-
E.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: זלפה Triple: [לֵאָה, coWife, זלפה]
Generated description
זלפה היא אחת משתי השפחות שניתנו ליעקב לנשים בסיפור המקראי, אם לשני שבטים מישראל.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: זלפה Target entity description: זלפה היא אחת משתי השפחות שניתנו ליעקב לנשים בסיפור המקראי, אם לשני שבטים מישראל.
-
A.
Firiplaka
Firiplaka is a scenic, volcanic-sand beach on the Greek island of Milos, known for its colorful cliffs and clear turquoise waters.
-
B.
Elphi
Elphi is the popular nickname for Hamburg’s Elbphilharmonie, a striking modern concert hall and architectural landmark on the Elbe River.
-
C.
Zamphuor
Zamphuor is a fictional, potent ingredient featured in Douglas Adams’ The Hitchhiker’s Guide to the Galaxy as part of the infamous Pan Galactic Gargle Blaster cocktail.
-
D.
Lipikar
Lipikar is La Roche-Posay’s dermatological body-care line formulated to hydrate, protect, and soothe dry to very dry and sensitive skin.
-
E.
Freisa
Freisa is a red Italian wine grape variety from the Piedmont region, known for producing tannic, often slightly sparkling wines with vibrant acidity and red berry aromas.
- F. None of above. chosen
Provenance (5 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_69ca842e9dcc8190a264119e683cfe04 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd50c23e7881908112597a1771afa5 |
completed | April 1, 2026, 5:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d100e4fff08190abb4865004462841 |
completed | April 4, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_69d10430eec481908e06dd1f6bd12020 |
completed | April 4, 2026, 12:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d104a6fb4481908a27f72e3f2d1811 |
completed | April 4, 2026, 12:31 p.m. |
Created at: March 30, 2026, 7:44 p.m.