Triple
T4725103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Afula |
E104863
|
entity |
| Predicate | foundedAsModernLocality |
P364
|
FINISHED |
| Object | 1920s |
—
|
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: 1920s | Statement: [Afula, foundedAsModernLocality, 1920s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedAsModernLocality Context triple: [Afula, foundedAsModernLocality, 1920s]
-
A.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
-
B.
foundedOn
Indicates that an entity was established, created, or brought into existence on a specific date or point in time.
-
C.
foundedNear
Indicates that one entity established or created another entity at a location geographically close to a specified reference entity or place.
-
D.
foundedAs
chosen
Indicates the original name or form under which an organization, institution, or entity was first established.
-
E.
municipalityEstablished
Indicates that a municipality was officially created or founded at a specific point in time.
- 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_69bd43ed84648190ae0b7ee8e8d00482 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd67c9c3c08190a6c4944cdd1362a8 |
completed | March 20, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69bd6220071881909670c89d072ffb6d |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:18 p.m.