Triple
T12871506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DAAG |
E307860
|
entity |
| Predicate | hasIATACode |
P2569
|
FINISHED |
| Object | ALG |
E307859
|
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: ALG | Statement: [DAAG, hasIATACode, ALG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ALG Context triple: [DAAG, hasIATACode, ALG]
-
A.
ALG
chosen
ALG is the IATA airport code for Houari Boumediene Airport, the main international airport serving Algiers, Algeria.
-
B.
ALGO
ALGO is the native cryptocurrency of the Algorand blockchain, used for transaction fees, staking, and securing the network through its pure proof-of-stake consensus mechanism.
-
C.
UAlg
UAlg is a Portuguese public university located in the Algarve region, known for its programs in marine sciences, tourism, and regional development.
-
D.
AL 3
AL 3 is a state highway designation in Alabama that corresponds primarily to U.S. Route 31, running north–south through the state and connecting multiple major cities and communities.
-
E.
ALP
ALP is the commonly used abbreviation for the Australian Labor Party, a major centre-left political party in Australia.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970905784819091631161a9de98c5 |
completed | April 10, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69bb4b28c8190a4ec9cad4e1e0f05 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:38 p.m.