Triple
T7415408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Palaces of Abomey |
E171114
|
entity |
| Predicate | numberOfPalaces |
P59324
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Royal Palaces of Abomey, numberOfPalaces, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPalaces Context triple: [Royal Palaces of Abomey, numberOfPalaces, 12]
-
A.
hasNumberOfPalaces
chosen
Indicates the specific count of palaces associated with an entity.
-
B.
numberOfPavilions
Indicates the total count of pavilions associated with a given entity or context.
-
C.
palace
Indicates that an entity is a palace, i.e., a grand official residence typically used by royalty or high-ranking authorities.
-
D.
numberOfCaliphs
Indicates the quantity of caliphs associated with a given entity or context.
-
E.
associatedWithPalace
Indicates a relationship where an entity has a connection, link, or involvement with a palace, such as through location, function, ownership, or affiliation.
- 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_69c68a618bdc81908d8018edadecd1a4 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2c643248190a387abba2f482b25 |
completed | March 27, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69c6f0345040819094c5756dfa487faf |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:11 p.m.