Triple
T35874922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | יד אבשלום |
E1037330
|
entity |
| Predicate | נושא מחקר |
P24329
|
FINISHED |
| Object | ארכאולוגיה של ירושלים |
—
|
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: ארכאולוגיה של ירושלים | Statement: [יד אבשלום, נושא מחקר, ארכאולוגיה של ירושלים]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: נושא מחקר Context triple: [יד אבשלום, נושא מחקר, ארכאולוגיה של ירושלים]
-
A.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
B.
coordinatesResearchOn
Indicates that one entity organizes and directs the planning, execution, and integration of research activities involving another entity.
-
C.
isSubjectOfStudy
Indicates that an entity is the focus or topic being examined, researched, or analyzed in a study or investigation.
-
D.
subjectOfWork
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
-
E.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.