Triple
T26413130
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teneguía |
E664013
|
entity |
| Predicate | createdNewLand |
P42853
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Teneguía, createdNewLand, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdNewLand Context triple: [Teneguía, createdNewLand, yes]
-
A.
usedToCreateLand
Indicates that something served as a means, material, or method for producing or forming a particular piece of land.
-
B.
mainLandmarkCreated
Indicates that one entity is the primary landmark that was created or established by another entity.
-
C.
allocatesLandTo
Indicates that one party assigns or designates a portion of land for use or ownership by another party.
-
D.
leasedLandFor
Indicates that one party has granted another party the right to use a piece of land for a specified period under a lease agreement.
-
E.
createdFeature
chosen
Indicates that one entity brought another entity into existence or caused it to be produced as a feature.
- 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_69ee883a04ec81908883c4559f8c7e24 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 26, 2026, 11:39 p.m.