Triple
T5947076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gondolin Cave |
E132305
|
entity |
| Predicate | hasSiteCode |
P66566
|
FINISHED |
| Object |
GD A
GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
|
E556757
|
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: GD A | Statement: [Gondolin Cave, hasSiteCode, GD A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GD A Context triple: [Gondolin Cave, hasSiteCode, GD A]
-
A.
GDA
GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
-
B.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
C.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
D.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
E.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
- 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: GD A Triple: [Gondolin Cave, hasSiteCode, GD A]
Generated description
GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GD A Target entity description: GD A is the designated site code used to identify Gondolin Cave in scientific and archaeological records.
-
A.
GDA
GDA is a Polish vehicle registration code assigned to cars registered in the Pomeranian Voivodeship, specifically associated with the Gdańsk area.
-
B.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
-
C.
GAU
GAU is the IATA airport code for Lokpriya Gopinath Bordoloi International Airport serving Guwahati in the Indian state of Assam.
-
D.
DA
DA is a postcode area in southeast England covering parts of south-east London and northwest Kent, including towns such as Dartford and Sidcup.
-
E.
DA
DA is the commonly used abbreviation for the Defence Academy of the United Kingdom, the institution responsible for advanced education and training of the UK’s armed forces and defence personnel.
- 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_69c00869d3308190af89b2453e0f7546 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0393bd4488190bba68d9c6e872e04 |
completed | March 22, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c08a11f48190b16ca30842f23ce5 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c351dcf88190a21b9c782cc06809 |
completed | March 23, 2026, 4:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c3e09a288190a230dd40d94dc7ba |
completed | March 23, 2026, 4:38 a.m. |
Created at: March 22, 2026, 4:01 p.m.