Triple
T7477712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fuerzas Armadas de Liberación Nacional Puertorriqueña |
E176670
|
entity |
| Predicate | membersArrestedIn |
P76481
|
FINISHED |
| Object | late 1970s |
—
|
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: late 1970s | Statement: [Fuerzas Armadas de Liberación Nacional Puertorriqueña, membersArrestedIn, late 1970s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membersArrestedIn Context triple: [Fuerzas Armadas de Liberación Nacional Puertorriqueña, membersArrestedIn, late 1970s]
-
A.
numberOfArrests
Indicates the count of times an entity has been arrested.
-
B.
arrestedFor
Indicates that an authority has taken someone into custody because they are suspected or accused of committing a specified offense or wrongdoing.
-
C.
arrests
Indicates that one entity, typically an authority figure, seizes and detains another entity under legal or official power.
-
D.
notableArrestee
Indicates that the subject is a person who was arrested in a way considered notable or significant, typically in connection with the object (such as an event, case, or authority).
-
E.
arrestedAt
Indicates that an entity was apprehended or taken into custody at a specific location or during a specific event or time.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f4f0088c8190880770ac31e5b7a7 |
completed | March 27, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69c6f03d967081908a8e696ff9693b90 |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f105e320819091db3cdb1f1351f0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.