Triple
T38423855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander (Philippine Legion of Honor) |
E903303
|
entity |
| Predicate | insigniaComponent |
P190866
|
FINISHED |
| Object | neck ribbon |
—
|
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: neck ribbon | Statement: [Commander (Philippine Legion of Honor), insigniaComponent, neck ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insigniaComponent Context triple: [Commander (Philippine Legion of Honor), insigniaComponent, neck ribbon]
-
A.
insigniaCaption
Indicates the text that serves as a caption or explanatory label specifically for an insignia.
-
B.
insigniaBackground
Indicates the background color, pattern, or design element that appears behind an insignia.
-
C.
insigniaCategory
Indicates the classification or type of an insignia within a defined system of insignia categories.
-
D.
insigniaUsedFor
Indicates that a particular insignia is employed or designated for a specific purpose, function, or use.
-
E.
insigniaName
Indicates the specific name or designation assigned to an insignia associated with an entity.
- 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_69f76e67e4fc8190a7d08dfe9a8af998 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcd1499e2c81909bafd84dc4810f45 |
completed | May 7, 2026, 5:52 p.m. |
| PD | Predicate disambiguation | batch_69fcccf024ec819086383ffbb6cfc036 |
completed | May 7, 2026, 5:33 p.m. |
| PDg | Predicate description generation | batch_69fcd148e6d4819082c118832ecc599b |
completed | May 7, 2026, 5:52 p.m. |
Created at: May 3, 2026, 4:31 p.m.