Triple
T25858873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Longgu |
E651426
|
entity |
| Predicate | hasPossessionType |
P170941
|
FINISHED |
| Object | direct possession |
—
|
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: direct possession | Statement: [Longgu, hasPossessionType, direct possession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossessionType Context triple: [Longgu, hasPossessionType, direct possession]
-
A.
hasPocketType
Indicates the specific style or configuration of pocket associated with an item or garment.
-
B.
recognizedPossession
Indicates that an entity formally acknowledges or accepts another entity’s ownership or control over something.
-
C.
hasCapType
Indicates that an entity possesses or is characterized by a specific type of cap or cap-like feature.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasWeaponType
Indicates that an entity is associated with or equipped with a specific type or category of weapon.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 22, 2026, 8:04 a.m.