Triple
T23916912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yochanan ben Zakkai Synagogue |
E602107
|
entity |
| Predicate | oldCity |
P31129
|
FINISHED |
| Object | Old City of Jerusalem |
—
|
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: Old City of Jerusalem | Statement: [Yochanan ben Zakkai Synagogue, oldCity, Old City of Jerusalem]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oldCity Context triple: [Yochanan ben Zakkai Synagogue, oldCity, Old City of Jerusalem]
-
A.
passesHistoricCity
Indicates that a route, path, or entity travels through or goes by a city recognized for its historical significance.
-
B.
isHistoricalCity
Indicates that a city has historical significance, typically due to its age, past events, or preserved heritage.
-
C.
traditionalInCity
Indicates that something is customary, long-established, or historically rooted within a particular city.
-
D.
oneOfOldestCities
Indicates that the subject is among the oldest cities within a specified group, region, or context.
-
E.
isHistoricCenterOf
chosen
Indicates that a place serves as the historically significant core or original central area of another location, typically a city or town.
- 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_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce9a744c819080bd30176b8de9a0 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.