Triple
T25468133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halting State |
E638227
|
entity |
| Predicate | exploresTechnology |
P46854
|
FINISHED |
| Object | location-based services |
—
|
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: location-based services | Statement: [Halting State, exploresTechnology, location-based services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploresTechnology Context triple: [Halting State, exploresTechnology, location-based services]
-
A.
technologyTrend
Indicates a relationship where a technology is characterized as part of a broader pattern of change or direction in technological development over time.
-
B.
technologyPresent
Indicates that a particular technology exists, is available, or is currently in use in the given context or situation.
-
C.
technologyIncludes
Indicates that one technology encompasses, contains, or incorporates another technology as part of its components, features, or implementation.
-
D.
technologyDiscussed
chosen
Indicates that a conversation, text, or interaction includes discussion or mention of a particular technology.
-
E.
technologyPioneered
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
- 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_69e75db9b964819096802dcf502e577e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f74f0e008190b3aa57b31c6cbe3e |
completed | May 2, 2026, 1:08 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:20 p.m.