Triple
T4617840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NGC 6530 |
E100908
|
entity |
| Predicate | ionizes |
P56979
|
FINISHED |
| Object | surrounding gas in Lagoon Nebula |
—
|
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: surrounding gas in Lagoon Nebula | Statement: [NGC 6530, ionizes, surrounding gas in Lagoon Nebula]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ionizes Context triple: [NGC 6530, ionizes, surrounding gas in Lagoon Nebula]
-
A.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
B.
inhibits
Indicates that one entity prevents, restrains, or reduces the activity, effect, or occurrence of another entity.
-
C.
is
Indicates that two entities are equivalent, share an attribute, or stand in a specified state or relation to each other.
-
D.
isElectricallyNeutral
Indicates that an entity has no net electric charge, with its positive and negative charges balanced.
-
E.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59e247448190ad92f194cb1127c5 |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522fd5c48190ad2bffc0a5bc9061 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd556b93cc8190ab817d2817109a0b |
completed | March 20, 2026, 2:10 p.m. |
Created at: March 20, 2026, 1:12 p.m.