Triple
T5057093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flavia Neapolis |
E113927
|
entity |
| Predicate | continuityOfSettlement |
P26885
|
FINISHED |
| Object | urban settlement has continued into modern Nablus |
—
|
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: urban settlement has continued into modern Nablus | Statement: [Flavia Neapolis, continuityOfSettlement, urban settlement has continued into modern Nablus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuityOfSettlement Context triple: [Flavia Neapolis, continuityOfSettlement, urban settlement has continued into modern Nablus]
-
A.
successorSettlement
Indicates that one settlement directly follows and replaces another as its successor.
-
B.
otherSettlement
Indicates that one settlement is another, different settlement distinct from the primary or reference settlement.
-
C.
settlementWith
Indicates a relationship where one party reaches or maintains a settlement or agreement with another party, typically resolving a dispute or claim.
-
D.
hasSettlementContinuitySince
Indicates that a settlement has existed continuously at a location since a specified point in time.
-
E.
continuityFrom
chosen
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
- 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_69bd443aa1f88190abb992d138f2cf42 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7450312881908d4e3576ca65f7fb |
completed | March 20, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69bd715479f08190933604aebd34414f |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.