Triple
T18292762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bilu |
E438156
|
entity |
| Predicate | settlementTypePromoted |
P42324
|
FINISHED |
| Object | agricultural colonies |
—
|
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: agricultural colonies | Statement: [Bilu, settlementTypePromoted, agricultural colonies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settlementTypePromoted Context triple: [Bilu, settlementTypePromoted, agricultural colonies]
-
A.
settlementType
Indicates the specific kind or category of human settlement an entity represents, such as a city, village, town, or hamlet.
-
B.
settlementEncouragedBy
chosen
Indicates that the establishment or growth of a settlement is promoted, supported, or stimulated by a particular factor, agent, or condition.
-
C.
settlementMode
Indicates the method or process by which a financial or transactional obligation is settled or completed between parties.
-
D.
typeOfSettlement
Indicates the specific category or classification of a settlement (e.g., city, town, village) that characterizes what kind of settlement it is.
-
E.
promotedWith
Indicates that one entity is advertised, marketed, or publicized together with another entity as part of the same promotional effort.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50100d6488190bbe73668df9c4046 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.