Triple
T36954110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gold Hoarders |
E914145
|
entity |
| Predicate | emissaryFlagColor |
P144302
|
FINISHED |
| Object | Green and gold |
—
|
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: Green and gold | Statement: [Gold Hoarders, emissaryFlagColor, Green and gold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emissaryFlagColor Context triple: [Gold Hoarders, emissaryFlagColor, Green and gold]
-
A.
nationalFlagColor
Indicates that a specific color appears on the national flag of a given country.
-
B.
isWarEnsignOf
Indicates that one entity is the war ensign (a specific military or wartime flag) representing or belonging to another entity.
-
C.
officialFlagOf
Indicates that one entity is the formally recognized flag that represents another entity (such as a country, organization, or region).
-
D.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
E.
usedFlagColor
chosen
Indicates that one entity employed or displayed a particular color as part of its flag.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:13 p.m.