Triple
T20326721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S/2015 (136472) 1 |
E492357
|
entity |
| Predicate | hasNoOfficialName |
P139697
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [S/2015 (136472) 1, hasNoOfficialName, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoOfficialName Context triple: [S/2015 (136472) 1, hasNoOfficialName, true]
-
A.
notOfficialNameOf
Indicates that a given name or label is used for an entity but is not its official or formally recognized name.
-
B.
hasOfficialUNName
Indicates that an entity possesses an official name as formally recognized by the United Nations.
-
C.
hasNoOfficialRecordIn
Indicates that an entity lacks any recognized or formally documented record within a specified system, registry, or authority.
-
D.
hasNoPersonalNameIn
Indicates that an entity lacks a specific personal name within a given context, language, or naming system.
-
E.
notNamedAfter
Indicates that one entity is explicitly not named in honor of, or derived from the name of, another entity.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e4130081909ec54f131939e442 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:21 a.m.