Triple
T26458048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSS Panglima |
E665546
|
entity |
| Predicate | namePrefixMeaning |
P129766
|
FINISHED |
| Object |
Republic of Singapore Ship
Republic of Singapore Ship is the naval ship prefix used by the Republic of Singapore Navy to designate its commissioned vessels.
|
E1725300
|
NE FINISHED |
How this triple was built (3 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: Republic of Singapore Ship | Statement: [RSS Panglima, namePrefixMeaning, Republic of Singapore Ship]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Republic of Singapore Ship Triple: [RSS Panglima, namePrefixMeaning, Republic of Singapore Ship]
Generated description
Republic of Singapore Ship is the naval ship prefix used by the Republic of Singapore Navy to designate its commissioned vessels.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: namePrefixMeaning Context triple: [RSS Panglima, namePrefixMeaning, Republic of Singapore Ship]
-
A.
birthNameMeaning
Indicates the semantic meaning or significance associated with a person's birth name.
-
B.
namePrefix
Indicates that one entity is a prefix or leading part of another entity’s name.
-
C.
registrationPrefixMeaning
chosen
Indicates the semantic meaning or interpretation associated with a particular registration prefix.
-
D.
currentNameMeaning
Indicates that the predicate expresses the meaning or significance of an entity’s current name.
-
E.
codeNameMeaning
Indicates that one entity is the meaning, interpretation, or significance associated with another entity’s code name.
- F. None of above.
Provenance (6 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_69ee883e812c8190a9b5a9cdb87fee5e |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f61291b9588190931535163a538686 |
completed | May 2, 2026, 3:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11aed92d7c81909169b1ce21ac0697 |
completed | May 23, 2026, 1:42 p.m. |
| NEDg | Description generation | batch_6a11afcce63c8190ac822c630de91480 |
completed | May 23, 2026, 1:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11b08396c8819094b627b21872f43b |
completed | May 23, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69f602d5c8808190a1fdbebd6f0981e8 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 27, 2026, 12:10 a.m.