Triple
T36597959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QGIS Server |
E902849
|
entity |
| Predicate | compatibleWebServer |
P119651
|
FINISHED |
| Object | Apache HTTP Server |
—
|
NE NERFINISHED |
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: Apache HTTP Server | Statement: [QGIS Server, compatibleWebServer, Apache HTTP Server]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compatibleWebServer Context triple: [QGIS Server, compatibleWebServer, Apache HTTP Server]
-
A.
compatibleClient
Indicates that one entity can function correctly and reliably as a client when interacting with another entity, according to defined compatibility criteria.
-
B.
compatibleConnection
chosen
Indicates that two entities can be connected or used together without conflict, supporting proper operation or interaction.
-
C.
defaultWebServer
Indicates that the referenced web server instance is designated as the primary or fallback server to be used when no specific server is explicitly chosen.
-
D.
compatibleStand
Indicates that one entity can be properly supported or held by another entity’s stand or mounting system.
-
E.
compatibleSign
Indicates that two entities are considered astrologically harmonious or well-matched based on their zodiac signs.
- 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd6a1c1c4881908090053bc359b181 |
completed | May 8, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69fd696f24d8819091033afacbdaadc5 |
completed | May 8, 2026, 4:41 a.m. |
Created at: May 3, 2026, 4:11 p.m.