Triple
T8932427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | coat of arms of Liberia |
E212688
|
entity |
| Predicate | capitalCityShown |
P86255
|
FINISHED |
| Object | none |
—
|
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: none | Statement: [coat of arms of Liberia, capitalCityShown, none]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityShown Context triple: [coat of arms of Liberia, capitalCityShown, none]
-
A.
capitalCityObservedIn
Indicates that a particular capital city was observed, recorded, or identified within a specified context, location, or time frame.
-
B.
capitalCityInvolved
Indicates that a capital city participates in, is affected by, or plays a role in a specified event, process, or relationship.
-
C.
capitalLikeCity
Indicates that a capital city shares similar characteristics or status to a particular city.
-
D.
capitalAreaOf
Indicates that a specified area value represents the total land or geographic size of the capital city of a given entity.
-
E.
capitalLocation
Indicates the relationship in which a place serves as the capital city or administrative center of a given political or geographic 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc668e5c108190b08f9cd6b4fd4a8b |
completed | April 1, 2026, 12:27 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed3286c8190a21de2ee11f2639f |
completed | March 31, 2026, 11:54 p.m. |
| PDg | Predicate description generation | batch_69cc608331f88190bcb500ff63527f8a |
completed | April 1, 2026, 12:02 a.m. |
Created at: March 30, 2026, 6:57 p.m.