Triple
T37253033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | N-35 National Highway |
E924043
|
entity |
| Predicate | constructionPartnerCountry |
P133775
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [N-35 National Highway, constructionPartnerCountry, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: constructionPartnerCountry Context triple: [N-35 National Highway, constructionPartnerCountry, China]
-
A.
notableContractorCountry
chosen
Indicates that a country is notably associated as a contractor for the given entity, such as through significant contracts or procurement relationships.
-
B.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
C.
partnerNation
Indicates that one entity is recognized as a collaborating or allied nation in relation to another entity.
-
D.
cooperationPartner
Indicates that two entities are engaged in a collaborative relationship, working together toward shared goals or mutual benefit.
-
E.
collaborationCountry
Indicates that there is a collaborative relationship or joint activity involving entities associated with the specified country.
- 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_69f76eaabb4c819093b751b139dad551 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe031bc6208190860099aef72d8dcb |
completed | May 8, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_69fe014c8b388190b5d4e0cb95ee2be5 |
completed | May 8, 2026, 3:29 p.m. |
Created at: May 3, 2026, 4:15 p.m.