Triple
T37945043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | קו ירוק |
E946581
|
entity |
| Predicate | מכונה לעיתים |
P116266
|
FINISHED |
| Object | גבולות 67 |
—
|
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: גבולות 67 | Statement: [קו ירוק, מכונה לעיתים, גבולות 67]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: מכונה לעיתים Context triple: [קו ירוק, מכונה לעיתים, גבולות 67]
-
A.
mecanismo
Indicates a mechanism or means by which one entity brings about, enables, or explains the effect, function, or outcome in another entity.
-
B.
isSometimesUsedFor
chosen
Indicates that something serves a particular purpose or function on some occasions, but not consistently or exclusively.
-
C.
isOftenResultOf
Indicates that one situation, event, or condition frequently occurs as a consequence or outcome of another.
-
D.
mentionsMechanism
Indicates that one entity explicitly refers to or describes the mechanism, process, or causal pathway by which another entity operates or produces an effect.
-
E.
mechanismBy
Indicates that one entity occurs, is produced, or is brought about by means of another entity, which serves as its mechanism or causal process.
- 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_69f76ef531ac8190ae6d99e5786e76ec |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc7b78f9481909f4f8fc2e3fdcde1 |
completed | May 6, 2026, 10:59 p.m. |
| PD | Predicate disambiguation | batch_69fbbd18c9908190928d274f8731dfa8 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:20 p.m.