Triple
T29767089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1968 Panamanian coup d'état |
E753943
|
entity |
| Predicate | usheredIn |
P144067
|
FINISHED |
| Object | National Guard–led rule in Panama |
—
|
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: National Guard–led rule in Panama | Statement: [1968 Panamanian coup d'état, usheredIn, National Guard–led rule in Panama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usheredIn Context triple: [1968 Panamanian coup d'état, usheredIn, National Guard–led rule in Panama]
-
A.
enteredInto
chosen
Indicates that one entity has initiated or become formally involved in a particular state, agreement, relationship, or situation with another entity.
-
B.
boarding
Indicates that one entity is getting onto or entering a vehicle, vessel, or similar conveyance associated with another entity.
-
C.
entersBy
Indicates that one entity moves into or gains access to another entity through a specified entrance, route, or means.
-
D.
takenInBy
Indicates that one entity is absorbed, ingested, or otherwise brought inside and contained by another entity.
-
E.
wardServed
Indicates that a particular ward is provided with services or attended to by a specified entity (such as a person, organization, or facility).
- 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_69f0ef827ff88190ade56e0b0846b713 |
completed | April 28, 2026, 5:33 p.m. |
| NER | Named-entity recognition | batch_69f6745d64ec8190a4726ed224b82873 |
completed | May 2, 2026, 10:02 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 28, 2026, 8:38 p.m.