Triple
T26061462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Jawf basin |
E657272
|
entity |
| Predicate | hasSettlementTypeHistorically |
P50563
|
FINISHED |
| Object | oasis towns |
—
|
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: oasis towns | Statement: [al-Jawf basin, hasSettlementTypeHistorically, oasis towns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSettlementTypeHistorically Context triple: [al-Jawf basin, hasSettlementTypeHistorically, oasis towns]
-
A.
hasSettlementHistory
Indicates that an entity has a documented history of human settlement or habitation in relation to another entity (such as a place or time period).
-
B.
hasSettlementTypeOrigin
Indicates that an entity’s settlement type is derived from, or originates in, a specified source or origin.
-
C.
previousSettlementType
chosen
Indicates the type or classification of a settlement that existed at a location before the current or present settlement type.
-
D.
isInSettlementType
Indicates that one entity is located within or classified as belonging to a particular type of settlement (such as a city, town, or village).
-
E.
hasSettlementContinuitySince
Indicates that a settlement has existed continuously at a location since a specified 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_69ee5bbd788481909e22bd7153d0c037 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 26, 2026, 7:18 p.m.