Triple
T29388503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HFP |
E745313
|
entity |
| Predicate | roleAudioGatewayTypicallyImplementedIn |
P171055
|
FINISHED |
| Object | mobile phones |
—
|
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: mobile phones | Statement: [HFP, roleAudioGatewayTypicallyImplementedIn, mobile phones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAudioGatewayTypicallyImplementedIn Context triple: [HFP, roleAudioGatewayTypicallyImplementedIn, mobile phones]
-
A.
roleInGateway
Indicates that an entity holds a specific function or responsibility within a particular gateway system or process.
-
B.
playsOn
Indicates that one entity participates or performs on a particular team, platform, or medium.
-
C.
roleWithFala
Indicates that one entity has a specific role or function in relation to another entity or context referred to as "Fala."
-
D.
playsInSystem
Indicates that an entity participates or operates within a particular system or framework.
-
E.
roleInTheatreEcosystem
Indicates the specific function, responsibility, or position an entity holds within the interconnected system of theatre production, distribution, and audience engagement.
- 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_69f0a79dfabc81908755382ee47791e2 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f698ad83a08190a6834056ccc3e3a4 |
completed | May 3, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69f69664142c8190bc695501056b0236 |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f697e92e2c8190bed50d5ba0981b64 |
completed | May 3, 2026, 12:33 a.m. |
Created at: April 28, 2026, 2:40 p.m.