Triple
T1707358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurocopter Tiger |
E36900
|
entity |
| Predicate | variant |
P4680
|
FINISHED |
| Object |
Tiger UHT
Tiger UHT is the German Army’s anti-tank and multi-role variant of the Eurocopter Tiger attack helicopter, optimized for precision engagement and battlefield support.
|
E192352
|
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: Tiger UHT | Statement: [Eurocopter Tiger, variant, Tiger UHT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiger UHT Context triple: [Eurocopter Tiger, variant, Tiger UHT]
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Parmalim
Parmalim is an indigenous Batak spiritual tradition from North Sumatra that centers on ancestral worship, reverence for nature, and devotion to a single supreme deity.
-
C.
Roaring Tiger
Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
-
D.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
E.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
- 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: Tiger UHT Triple: [Eurocopter Tiger, variant, Tiger UHT]
Generated description
Tiger UHT is the German Army’s anti-tank and multi-role variant of the Eurocopter Tiger attack helicopter, optimized for precision engagement and battlefield support.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tiger UHT Target entity description: Tiger UHT is the German Army’s anti-tank and multi-role variant of the Eurocopter Tiger attack helicopter, optimized for precision engagement and battlefield support.
-
A.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
-
B.
Parmalim
Parmalim is an indigenous Batak spiritual tradition from North Sumatra that centers on ancestral worship, reverence for nature, and devotion to a single supreme deity.
-
C.
Roaring Tiger
Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
-
D.
Tebu
Tebu is a Saharan ethnic group and language community primarily inhabiting parts of southern Libya, Chad, and Niger.
-
E.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
- 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_69a88617439c819094ffb5d16a0f6307 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62f6fc9c8190b61cc9872cc2adc0 |
completed | March 6, 2026, 5:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ad849648190b2bb0e2a50cd6c75 |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957778a0819080f7fee35f5d8ed5 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97aa308c81909f245a2133fc471b |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.