Triple
T17557435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HAL (Hypertext Application Language) |
E427622
|
entity |
| Predicate | linkTemplatedKey |
P127921
|
FINISHED |
| Object | templated |
—
|
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: templated | Statement: [HAL (Hypertext Application Language), linkTemplatedKey, templated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkTemplatedKey Context triple: [HAL (Hypertext Application Language), linkTemplatedKey, templated]
-
A.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
-
B.
linkedModel
Indicates that one model is associated or connected to another model, typically to reference or reuse its structure or behavior.
-
C.
linkedLocation
Indicates that one location is associated or connected to another location in a meaningful way, such as being related, referenced, or contextually tied.
-
D.
keyAssociation
Indicates an associative relationship where one entity serves as a key used to identify, access, or link to another entity or set of entities.
-
E.
keyOf
Indicates that one entity functions as the key (identifier or access token) associated with another entity.
- 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_69d889df6dc081908f67dbadc03c07ee |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4562413d08190acaa5272046d3626 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.