Triple
T25842529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEA 1180 Phase 1 |
E650974
|
entity |
| Predicate | numberOfVesselsPlanned |
P21287
|
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: [SEA 1180 Phase 1, numberOfVesselsPlanned, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfVesselsPlanned Context triple: [SEA 1180 Phase 1, numberOfVesselsPlanned, 12]
-
A.
numberOfPlannedShips
chosen
Indicates the total count of ships that are intended or scheduled to be built, deployed, or used according to a plan.
-
B.
numberOfShips
Indicates the quantity of ships associated with a given entity or situation.
-
C.
otherPlannedBoats
Indicates that there are additional boats, beyond the primary one(s) referenced, that are planned or scheduled in relation to the same context or event.
-
D.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
-
E.
numberPlanned
Indicates that a specific quantity has been scheduled or intended for a future action or allocation.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
Created at: April 22, 2026, 7:50 a.m.