Triple
T3657470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marien Ngouabi University |
E77566
|
entity |
| Predicate | namedAfterStatus |
P13174
|
FINISHED |
| Object | head of state |
—
|
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: head of state | Statement: [Marien Ngouabi University, namedAfterStatus, head of state]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namedAfterStatus Context triple: [Marien Ngouabi University, namedAfterStatus, head of state]
-
A.
namedAfter
Indicates that one entity has been given its name in honor of, or derived from, another entity.
-
B.
namedAfterSince
Indicates that one entity has borne the name of another entity starting from a specific point in time.
-
C.
namedAfterPosition
chosen
Indicates that an entity is named after a specific position, role, or rank associated with it.
-
D.
laterStatus
Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
-
E.
namedAfterField
Indicates that one entity has been given a name derived from or in honor of another entity, typically a person, place, or thing.
- 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_69ad85def5cc8190863dccf55a18bebb |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d36c1c8190920397a75de4c47d |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb84650148190bf79231105e58d7f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:24 p.m.