Triple
T2082780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harmonious |
E45279
|
entity |
| Predicate | numberOfMainBarges |
P35700
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Harmonious, numberOfMainBarges, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMainBarges Context triple: [Harmonious, numberOfMainBarges, 5]
-
A.
numberOfMasts
Indicates the quantity of masts that an entity (such as a ship or vessel) possesses.
-
B.
hasEstimatedNumberOfBunkers
Indicates that an entity is associated with an approximate or estimated count of bunkers.
-
C.
mainCargo
Indicates that one entity serves as the primary or principal cargo carried or transported by another entity.
-
D.
hasBerths
Indicates that one entity provides or contains sleeping or docking berths for another entity.
-
E.
numberOfNaves
Indicates the specific count of naves (longitudinal sections) that a building, typically a church, possesses.
- F. None of above. chosen
Provenance (4 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba5097ac8190a723a8af2982238c |
completed | March 7, 2026, 5:40 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.