Triple
T1673820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eccles tram stop |
E36184
|
entity |
| Predicate | hasRailCode |
P18202
|
FINISHED |
| Object | ECC |
E186987
|
NE 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: ECC | Statement: [Eccles tram stop, hasRailCode, ECC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ECC Context triple: [Eccles tram stop, hasRailCode, ECC]
-
A.
ECC
chosen
ECC is the National Rail station code for Eccles railway station in Greater Manchester, England.
-
B.
ECCAS
ECCAS (Economic Community of Central African States) is a regional economic community that promotes economic integration, peace, and development among Central African countries.
-
C.
ECA
The Economic Cooperation Administration (ECA) was the U.S. government agency responsible for administering the Marshall Plan to aid European economic recovery after World War II.
-
D.
ECA
ECA is a regional United Nations commission focused on promoting economic and social development across the African continent.
-
E.
ECA
The ECA is the European Union institution responsible for auditing the EU’s finances and ensuring that its budget is correctly implemented.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6246753081909dace4eacf9cb1c0 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad71b341bc8190b79f76f426dfa7dd |
completed | March 8, 2026, 12:55 p.m. |
Created at: March 4, 2026, 7:29 p.m.