Triple
T36112434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinshanling |
E1044534
|
entity |
| Predicate | hasWatchtower |
P8955
|
FINISHED |
| Object | General Tower |
—
|
NE NERFINISHED |
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: General Tower | Statement: [Jinshanling, hasWatchtower, General Tower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWatchtower Context triple: [Jinshanling, hasWatchtower, General Tower]
-
A.
hasTower
chosen
Indicates that one entity possesses, contains, or is characterized by the presence of a tower.
-
B.
hasServiceTower
Indicates that an entity is equipped with or associated with a service tower that supports its operation or maintenance.
-
C.
isObservationTower
Indicates that something functions as an observation tower, serving primarily as a structure for viewing or monitoring an area from an elevated position.
-
D.
hasRocketTower
Indicates that an entity possesses or is equipped with a rocket-firing tower structure.
-
E.
hasTowerPosition
Indicates that an entity occupies or is assigned a specific position or location within a tower.
- 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_69f76e344a4c8190af3858c6d78ba88f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:08 p.m.