Triple
T38222016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | גָּלְיָת |
E1012035
|
entity |
| Predicate | משקל השריון |
P70576
|
FINISHED |
| Object | חמשת אלפים שקלים נחושת |
—
|
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: חמשת אלפים שקלים נחושת | Statement: [גָּלְיָת, משקל השריון, חמשת אלפים שקלים נחושת]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: משקל השריון Context triple: [גָּלְיָת, משקל השריון, חמשת אלפים שקלים נחושת]
-
A.
الوزن_الشعري
Indicates the metrical pattern or poetic meter that characterizes the rhythm and structure of a verse or poetic text.
-
B.
وزن
chosen
Indicates a relationship where one entity has, measures, or is characterized by a certain weight or mass.
-
C.
weight
Indicates a relationship where a numerical value quantifies how heavy an entity is, often used to measure or compare mass or load.
-
D.
סיבת זכייה
Indicates the reason or cause for which an entity wins or is awarded something.
-
E.
מאפיין מסורתי
Indicates a traditional characteristic or attribute that is typically associated with something based on long-standing customs or heritage.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.