Triple
T1123370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sirens |
E24661
|
entity |
| Predicate | numberInOdyssey |
P8195
|
FINISHED |
| Object | two or more |
—
|
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: two or more | Statement: [Sirens, numberInOdyssey, two or more]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberInOdyssey Context triple: [Sirens, numberInOdyssey, two or more]
-
A.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
B.
ordinalNumber
Indicates the position or rank of an entity within an ordered sequence (e.g., first, second, third).
-
C.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
D.
numberOfInvaders
Indicates the quantity of entities classified as invaders associated with a given subject or context.
-
E.
numberOfBrightNakedEyeStars
Indicates the count of stars that are bright enough to be seen with the naked eye.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4749ac8190b0fbddac2e9b2586 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.