Triple
T8606644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laminaria oil field |
E203813
|
entity |
| Predicate | block |
P19715
|
FINISHED |
| Object |
AC/L5
AC/L5 is an offshore petroleum exploration and production block located in the Timor Sea region off northwestern Australia.
|
E745659
|
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: AC/L5 | Statement: [Laminaria oil field, block, AC/L5]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AC/L5 Context triple: [Laminaria oil field, block, AC/L5]
-
A.
LCL
LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
-
B.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
C.
L3
L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
-
D.
ALC
ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
-
E.
AC50
The AC50 is a high-performance, foiling catamaran class designed for the America's Cup, known for its cutting-edge technology and extreme speed.
- 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: AC/L5 Triple: [Laminaria oil field, block, AC/L5]
Generated description
AC/L5 is an offshore petroleum exploration and production block located in the Timor Sea region off northwestern Australia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AC/L5 Target entity description: AC/L5 is an offshore petroleum exploration and production block located in the Timor Sea region off northwestern Australia.
-
A.
LCL
LCL is the standard abbreviation for the Loeb Classical Library, a renowned series of books presenting classical Greek and Latin texts with facing-page English translations.
-
B.
LCL
LCL is a visual component framework used by the Lazarus IDE to build cross-platform graphical user interfaces in Free Pascal.
-
C.
L3
L3 is a particle physics experiment that operated at CERN’s Large Electron–Positron Collider, designed to study high-energy electron–positron collisions and probe the Standard Model.
-
D.
ALC
ALC is the IATA airport code for Alicante–Elche Airport, the main international airport serving Spain’s Costa Blanca region.
-
E.
AC50
The AC50 is a high-performance, foiling catamaran class designed for the America's Cup, known for its cutting-edge technology and extreme speed.
- 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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46eabe2c8190a2d13c353055a785 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea900cf708190abb550f592edbdf6 |
completed | April 2, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69cea9d23cc88190b937e89b9aa2bd66 |
completed | April 2, 2026, 5:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ceaae76d188190932826c9fd9f7f5f |
completed | April 2, 2026, 5:44 p.m. |
Created at: March 30, 2026, 6:25 p.m.