Triple
T33007580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DHCP relay agent |
E844550
|
entity |
| Predicate | fieldUsed |
P158790
|
FINISHED |
| Object | giaddr |
—
|
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: giaddr | Statement: [DHCP relay agent, fieldUsed, giaddr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldUsed Context triple: [DHCP relay agent, fieldUsed, giaddr]
-
A.
fieldPresence
Indicates that a particular field or attribute exists or is present within a given context, object, or dataset.
-
B.
fields
Indicates that one entity has fields or attributes that are defined, declared, or contained within another entity.
-
C.
fields
chosen
Indicates that one entity possesses, defines, or contains specific data fields or attributes associated with another entity.
-
D.
fieldAdvanced
Indicates that a particular field or attribute has progressed beyond a basic or standard level, reflecting a more complex, specialized, or developed state.
-
E.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
- 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_69f3494e59f08190b9127c693e5c7e8f |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: May 1, 2026, 1:23 a.m.