Triple
T1358127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manila–Acapulco route |
E29036
|
entity |
| Predicate | dissolvedAbolishedOrDemolished |
P133
|
FINISHED |
| Object | 1815 |
—
|
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: 1815 | Statement: [Manila–Acapulco route, dissolvedAbolishedOrDemolished, 1815]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dissolvedAbolishedOrDemolished Context triple: [Manila–Acapulco route, dissolvedAbolishedOrDemolished, 1815]
-
A.
dissolvedOrAbolished
chosen
Indicates that an organization, institution, or formal entity has been officially terminated, disbanded, or ceased to exist.
-
B.
demolished
Indicates that one entity completely destroyed or razed another entity, typically a structure or object, so that it no longer exists in its previous form.
-
C.
demolishedToMakeWayFor
Indicates that one entity was intentionally destroyed or removed in order to create space for another entity or development.
-
D.
reasonForDemolition
Indicates the cause, justification, or circumstance that led to a structure or object being demolished.
-
E.
dismantledBy
Indicates that something has been taken apart, disassembled, or broken down by a particular agent or 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c28f5b988190b0be4504eabb919d |
completed | March 1, 2026, 10:49 p.m. |
| PD | Predicate disambiguation | batch_69a4bef7700c819099b294e8d9320e70 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.