Triple
T29863803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | mod_lua |
E758393
|
entity |
| Predicate | targetSoftware |
P79628
|
FINISHED |
| Object | Apache HTTP Server 2.4 |
—
|
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 2.4 | Statement: [mod_lua, targetSoftware, Apache HTTP Server 2.4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetSoftware Context triple: [mod_lua, targetSoftware, Apache HTTP Server 2.4]
-
A.
targetedSoftware
chosen
Indicates that a particular piece of software is the specific focus or target of an action, operation, or effect.
-
B.
softwareFor
Indicates that one entity is designed, intended, or used to operate on, support, or be compatible with another entity as software.
-
C.
hasSoftwareCompatibilityWith
Indicates that one software system can operate correctly and effectively with another software system, without conflicts or required modifications.
-
D.
softwareFormat
Indicates that one entity specifies or uses the file or data format in which a software-related item is encoded, stored, or delivered.
-
E.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
- 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_69f2245b4dec8190b85f664d918a00a5 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: April 29, 2026, 5:50 p.m.