Triple
T35641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Green Service Uniform |
E705
|
entity |
| Predicate | enteredService |
P2339
|
FINISHED |
| Object | around 2020 |
—
|
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: around 2020 | Statement: [Army Green Service Uniform, enteredService, around 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enteredService Context triple: [Army Green Service Uniform, enteredService, around 2020]
-
A.
enteredIntoForce
Indicates that a law, treaty, agreement, or regulation has become legally effective and binding from a specific point in time.
-
B.
servedByService
Indicates that something is provided, handled, or fulfilled by a particular service.
-
C.
attendedBy
Indicates that an event, place, or activity is participated in or visited by a particular person or group.
-
D.
inscription
Indicates that text has been written, carved, or engraved onto a surface or object.
-
E.
openedIn
Indicates that an entity (such as a business, event, or institution) began operating or was inaugurated in a specific time period 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24989c3308190af59dfae37cfc32f |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a24873e97c8190b9e4279e43b6de14 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a24988d4688190b4584356ed7dea50 |
completed | Feb. 28, 2026, 1:48 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.