Triple
T28041971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manāslu |
E708568
|
entity |
| Predicate | UNM49CodeCountry |
P124451
|
FINISHED |
| Object | NP |
—
|
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: NP | Statement: [Manāslu, UNM49CodeCountry, NP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: UNM49CodeCountry Context triple: [Manāslu, UNM49CodeCountry, NP]
-
A.
UICCountryCode
Indicates that an entity is associated with a specific country identified by its UIC (International Union of Railways) country code.
-
B.
hasM49Code
chosen
Indicates that an entity is associated with a specific UN M49 numerical area code used for statistical and geographical classification.
-
C.
FIPSCountryCode
Indicates that an entity is associated with a specific country as identified by its FIPS (Federal Information Processing Standards) country code.
-
D.
continentCode
Indicates the standardized code assigned to the continent with which an entity is associated.
-
E.
EUCountryCode
Indicates that an entity is identified by a country code belonging to a member state of the European Union.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63f307b1481909612232b4b659841 |
completed | May 2, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:26 p.m.