Triple
T21178107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IC II |
E521867
|
entity |
| Predicate | hasDataOn |
P86949
|
FINISHED |
| Object | positions of objects |
—
|
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: positions of objects | Statement: [IC II, hasDataOn, positions of objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataOn Context triple: [IC II, hasDataOn, positions of objects]
-
A.
containsDataAbout
chosen
Indicates that one entity holds or includes information or records pertaining to another entity.
-
B.
hasSourceOfData
Indicates that one entity serves as the origin or provider of the data used or referenced by another entity.
-
C.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
-
D.
hasHistoricalData
Indicates that an entity possesses recorded information or records about past events, states, or values relevant to it.
-
E.
dataReturned
Indicates that some data has been sent back or provided as a result of a request, query, or operation.
- 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_69e0b50ef1d48190b063aa342667df22 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7301a8198819092daa1c847889a88 |
completed | April 21, 2026, 8:06 a.m. |
| PD | Predicate disambiguation | batch_69e5f6027c248190a170a36612bd337e |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3 p.m.