Triple
T27754518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operación San Lorenzo |
E701301
|
entity |
| Predicate | hasRescueCapsuleName |
P67127
|
FINISHED |
| Object | Fénix |
—
|
NE NERFINISHED |
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: Fénix | Statement: [Operación San Lorenzo, hasRescueCapsuleName, Fénix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRescueCapsuleName Context triple: [Operación San Lorenzo, hasRescueCapsuleName, Fénix]
-
A.
capsuleName
chosen
Indicates that an entity has the specified name or label of a capsule (such as a pill, container, or encapsulated unit).
-
B.
isReusableCapsule
Indicates that a capsule is designed to be used multiple times rather than being discarded after a single use.
-
C.
hasCap
Indicates that an entity possesses or is equipped with a cap or top covering.
-
D.
hasReserveName
Indicates that an entity has an alternative or backup name designated for use in specific contexts or under certain conditions.
-
E.
numberOfCapsules
Indicates the quantity or count of capsules associated with an entity or 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_69ef6a5193808190816eb7d0020b2d87 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69ff0214d7348190904688376df99bce |
completed | May 9, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69feffd62fec8190a855922c8b3c57cf |
completed | May 9, 2026, 9:35 a.m. |
Created at: April 27, 2026, 4:22 p.m.