Triple
T14923620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COMBO-17 survey |
E371575
|
entity |
| Predicate | hasDataProduct |
P3585
|
FINISHED |
| Object | multi-band photometric catalogs |
—
|
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: multi-band photometric catalogs | Statement: [COMBO-17 survey, hasDataProduct, multi-band photometric catalogs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDataProduct Context triple: [COMBO-17 survey, hasDataProduct, multi-band photometric catalogs]
-
A.
providesDataProduct
Indicates that one entity supplies or makes available a specific data product to another entity or system.
-
B.
hasProduct
chosen
Indicates that an entity possesses, offers, or is associated with a particular product.
-
C.
hasProductUser
Indicates that a product is associated with or used by a particular user.
-
D.
hasWorkProduct
Indicates that one entity produces, creates, or is responsible for a particular work product or output associated with it.
-
E.
hasMarketData
Indicates that an entity possesses or is associated with relevant market-related information or statistics.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6323f8c8190af02d06352d459c3 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:34 a.m.