Triple
T23813670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tower of the Valley |
E589030
|
entity |
| Predicate | isEnglishMeaningOf |
P51539
|
FINISHED |
| Object | Migdal HaEmek |
—
|
NE NERFINISHED |
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: Migdal HaEmek | Statement: [Tower of the Valley, isEnglishMeaningOf, Migdal HaEmek]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEnglishMeaningOf Context triple: [Tower of the Valley, isEnglishMeaningOf, Migdal HaEmek]
-
A.
hasMeaningInOriginLanguage
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning in its original or source language.
-
B.
hasTranslatedMeaning
Indicates that one entity expresses the meaning of another entity in a different language through translation.
-
C.
hasEnglishNameMeaning
chosen
Indicates that an entity is associated with an English-language name along with the meaning or semantic interpretation of that name.
-
D.
hasMeaningInEnglishSlang
Indicates that something (such as a word, phrase, or expression) carries a particular meaning specifically within English slang usage.
-
E.
hasMeaningInChinese
Indicates that one entity (such as a word, phrase, or symbol) possesses a specific meaning or interpretation within the Chinese language.
- 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_69e25d18619081909c7fb89d8926f14a |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7a911f481909c8a98a5aec72b4b |
completed | April 29, 2026, 8:56 a.m. |
| PD | Predicate disambiguation | batch_69f155fe300481909bd617443228df65 |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:57 p.m.