Triple
T19112195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DISC |
E467814
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
OPODIS
OPODIS is an international conference focused on the theory, design, analysis, and implementation of distributed and decentralized systems.
|
E1358935
|
NE FINISHED |
How this triple was built (4 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: OPODIS | Statement: [DISC, relatedTo, OPODIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OPODIS Context triple: [DISC, relatedTo, OPODIS]
-
A.
OPO
OPO is the IATA airport code for Francisco Sá Carneiro Airport, the main international airport serving Porto, Portugal.
-
B.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
-
C.
Opo
The Opo are a small Nilotic ethnic group living primarily in the borderlands of western Ethiopia and South Sudan, known for their agro-pastoralist lifestyle and distinct language and culture.
-
D.
Opol
Opol is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, eco-tourism attractions, and proximity to Cagayan de Oro City.
-
E.
Opoeteren
Opoeteren is a village in the Belgian province of Limburg that now forms part of the municipality of Maaseik.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: OPODIS Triple: [DISC, relatedTo, OPODIS]
Generated description
OPODIS is an international conference focused on the theory, design, analysis, and implementation of distributed and decentralized systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: OPODIS Target entity description: OPODIS is an international conference focused on the theory, design, analysis, and implementation of distributed and decentralized systems.
-
A.
OPO
OPO is the IATA airport code for Francisco Sá Carneiro Airport, the main international airport serving Porto, Portugal.
-
B.
OPO
OPO is the vehicle registration code assigned to the Polish city of Opole.
-
C.
Opo
The Opo are a small Nilotic ethnic group living primarily in the borderlands of western Ethiopia and South Sudan, known for their agro-pastoralist lifestyle and distinct language and culture.
-
D.
Opol
Opol is a coastal municipality in Misamis Oriental, Philippines, known for its beaches, eco-tourism attractions, and proximity to Cagayan de Oro City.
-
E.
Opoeteren
Opoeteren is a village in the Belgian province of Limburg that now forms part of the municipality of Maaseik.
- F. None of above. chosen
Provenance (5 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e394969c81909d09b2300ea0e041 |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05dda6a4388190aaaf0240551a072b |
completed | May 14, 2026, 2:35 p.m. |
| NEDg | Description generation | batch_6a05dfd00d1081908086212708501c8f |
completed | May 14, 2026, 2:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05e0f25e2481909ddd3f2181b784ea |
completed | May 14, 2026, 2:49 p.m. |
Created at: April 10, 2026, 12:04 p.m.