Triple
T3337532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinjii Zhu’ Ginjik |
E70173
|
entity |
| Predicate | hasRightsIssue |
P4511
|
FINISHED |
| Object | land rights |
—
|
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: land rights | Statement: [Dinjii Zhu’ Ginjik, hasRightsIssue, land rights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRightsIssue Context triple: [Dinjii Zhu’ Ginjik, hasRightsIssue, land rights]
-
A.
hasKeyIssue
Indicates that an entity is associated with a primary or central problem, concern, or topic of importance.
-
B.
hasLegalIssue
chosen
Indicates that an entity is involved in, associated with, or subject to a legal problem, dispute, or proceeding.
-
C.
hasLegalRight
Indicates that an entity possesses an officially recognized legal entitlement or permission to perform an action or hold a claim regarding another entity.
-
D.
hasPracticeIssue
Indicates that an entity is associated with a specific problem, concern, or challenge arising in practical or real-world practice.
-
E.
hasRightsOver
Indicates that one entity possesses legal, moral, or formal entitlements or authority over another entity.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bc31b4819085f01e0b5a7cbc5d |
completed | March 8, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69ada42c2ba8819091136805ce17b39d |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:12 p.m.