Triple
T23565059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Broken Trident |
E579346
|
entity |
| Predicate | tridentProngsCount |
P29633
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [The Broken Trident, tridentProngsCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tridentProngsCount Context triple: [The Broken Trident, tridentProngsCount, 3]
-
A.
tridentProngsSymbolize
Indicates that the prongs of a trident serve as symbols representing particular concepts, powers, or attributes in relation to something.
-
B.
hasNumberOfProngs
chosen
Indicates the relationship specifying how many prongs an object or entity possesses.
-
C.
hasProng
Indicates that one entity possesses, includes, or is equipped with a prong or prongs as part of its structure or design.
-
D.
hasTentacleLength
Indicates that one entity possesses tentacles of a specified length in relation to another entity or a given measurement.
-
E.
hasTentacles
Indicates that an entity possesses tentacle-like appendages.
- 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_69e245fe24588190888f3aec8407d8e3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1af6b04cc81909385e485b8bdd54b |
completed | April 29, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:34 p.m.