Triple
T38593592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fan of Blades |
E932509
|
entity |
| Predicate | projectileCount |
P23883
|
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: [Fan of Blades, projectileCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: projectileCount Context triple: [Fan of Blades, projectileCount, 3]
-
A.
involvesProjectile
Indicates that the action or event includes the use, presence, or motion of a projectile as a key component of the interaction between entities.
-
B.
numberOfShotsFired
chosen
Indicates the total count of shots that were discharged in the described event or action.
-
C.
hasProjectilePointCharacteristic
Indicates that an entity possesses a specific attribute or feature related to a projectile point (such as its form, technology, or measurable properties).
-
D.
numberOfCatapults
Indicates the quantity of catapults associated with a given entity or context.
-
E.
numberPerLaunch
Indicates the quantity of items or units associated with each individual launch event.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.