Triple
T2756437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gourock |
E61111
|
entity |
| Predicate | postTown |
P2711
|
FINISHED |
| Object |
GOUROCK
GOUROCK is a coastal town and former seaside resort on the Firth of Clyde in Inverclyde, western Scotland.
|
E295170
|
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: GOUROCK | Statement: [Gourock, postTown, GOUROCK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GOUROCK Context triple: [Gourock, postTown, GOUROCK]
-
A.
Gongman
Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
-
B.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
-
C.
GROM
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- 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: GOUROCK Triple: [Gourock, postTown, GOUROCK]
Generated description
GOUROCK is a coastal town and former seaside resort on the Firth of Clyde in Inverclyde, western Scotland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GOUROCK Target entity description: GOUROCK is a coastal town and former seaside resort on the Firth of Clyde in Inverclyde, western Scotland.
-
A.
Gongman
Gongman is the iconic figure who strikes a large gong in the opening logo sequence of the Rank Organisation’s films.
-
B.
Grocka
Grocka is a suburban municipality of Belgrade in Serbia, known for its agricultural production, especially fruit growing, and its location along the Danube River.
-
C.
GROM
GROM is Poland’s elite special operations unit renowned for high-risk counterterrorism, hostage rescue, and unconventional warfare missions.
-
D.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
E.
GOLLOG
GOLLOG is the cargo and logistics division of Brazilian airline GOL Linhas Aéreas Inteligentes, providing air and ground freight services.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8a292c8190ab3982434805241a |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
| NEDg | Description generation | batch_69afbc67c39c8190b5932c0e23595f64 |
completed | March 10, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afbd2d8a2c8190896a9154ebbd8bab |
completed | March 10, 2026, 6:41 a.m. |
Created at: March 6, 2026, 9:56 p.m.