Triple
T27942732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lingko |
E700794
|
entity |
| Predicate | allocatesLandTo |
P165106
|
FINISHED |
| Object | clan members |
—
|
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: clan members | Statement: [Lingko, allocatesLandTo, clan members]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allocatesLandTo Context triple: [Lingko, allocatesLandTo, clan members]
-
A.
ownedLandBy
Indicates that one entity possesses legal or recognized ownership rights over a piece or area of land associated with another entity.
-
B.
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.
-
C.
requiredShareOfLand
Indicates the proportion or amount of land that must be allocated or possessed to satisfy a specified requirement or rule.
-
D.
ownsLandFor
Indicates that one entity possesses or holds ownership rights to land for the benefit, use, or purpose of another entity.
-
E.
Land
Indicates that an entity arrives onto and comes to rest on a surface or ground, typically from the air or another elevated position.
- F. None of above. chosen
Provenance (4 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f65705a3048190a3728b695ba2ae65 |
completed | May 2, 2026, 7:56 p.m. |
| PD | Predicate disambiguation | batch_69f651a931748190a637e631a52bbfaa |
completed | May 2, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69f6562ef4e4819082ce6abd41b74dc5 |
completed | May 2, 2026, 7:53 p.m. |
Created at: April 27, 2026, 7:19 p.m.