Triple
T38226966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lieutenant colonel (United States Marine Corps) |
E1012169
|
entity |
| Predicate | informalAddress |
P190181
|
FINISHED |
| Object | Colonel |
—
|
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: Colonel | Statement: [Lieutenant colonel (United States Marine Corps), informalAddress, Colonel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: informalAddress Context triple: [Lieutenant colonel (United States Marine Corps), informalAddress, Colonel]
-
A.
address
Indicates that one entity directs spoken or written communication specifically to another entity.
-
B.
addressLocal
Indicates that one entity serves as a local or nearby address or location reference for another entity.
-
C.
streetAddress
Indicates the specific location of an entity in terms of its numbered building and street name within a postal address.
-
D.
addressType
Indicates the specific kind or category of address associated with an entity (e.g., home, work, billing, or shipping).
-
E.
addressRepresents
Indicates that one address stands for, corresponds to, or serves as the official representation of another entity or location.
- 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_69f76dd25e0c81909f2abd0803e5e3ee |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc330b4288190858b49d986160706 |
completed | May 7, 2026, 4:52 p.m. |
Created at: May 3, 2026, 4:30 p.m.