Triple
T11145643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACS Group |
E263662
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | Dragados |
E906755
|
NE FINISHED |
How this triple was built (2 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: Dragados | Statement: [ACS Group, subsidiary, Dragados]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dragados Context triple: [ACS Group, subsidiary, Dragados]
-
A.
Dragados
chosen
Dragados is a major Spanish construction and civil engineering company known for large-scale infrastructure projects worldwide.
-
B.
Vlichos
Vlichos is a small coastal village on the Greek island of Hydra, known for its traditional stone houses, quiet beaches, and scenic seaside promenade.
-
C.
Gaddanes
Gaddanes is an alternative name for the Gaddang language, an Austronesian language spoken by the Gaddang people of northern Luzon in the Philippines.
-
D.
Vromonas
Vromonas is a small Greek island that forms part of the Echinades archipelago in the Ionian Sea.
-
E.
Dagonet
Dagonet is the loyal and self-sacrificing knight of the Round Table in the 2004 film "King Arthur," portrayed as a fierce warrior and close companion to Arthur and his fellow knights.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8634d5481909b114d30a542ea3f |
completed | April 9, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e46325e1308190af5718e10ffe1e8c |
completed | April 19, 2026, 5:07 a.m. |
Created at: April 8, 2026, 9:28 p.m.